Data Engineering Jobs with Equity ≥ 2%

Summary: Candidates must possess applied AI experience, including embedding AI into workflows or client solutions, and have experience operating within a consultancy or multi-project environment. A proven background in senior technology leadership, hands-on software engineering, and strong people management skills, especially in a client-facing context, is essential.

Skills: technology strategy, roadmap definition, engineering leadership, technical governance, client project oversight, new business pitches, innovation championing, engineering culture, resource allocation, applied ai, ai integration, consultancy operations, people management, client-facing skills, cloud platforms, agile methodologies

Summary: Candidates must have at least 7 years in platform development, including 3 years in formal management roles leading sizable technical teams and strategic initiatives. Required technical expertise includes cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), automation, CI/CD, and observability tools.

Skills: platform development, infrastructure engineering, team leadership, coaching, performance management, cloud platforms, aws, azure, gcp, containerization, docker, kubernetes, automation, ci/cd pipelines, observability tools, architecture

Summary: Candidates must possess over 10 years of hands-on software engineering experience, including 5+ years in engineering management, with expertise in building robust B2B APIs/SDKs and a strong background in blockchain, tokenization standards, and RWA lifecycles. Required technical expertise includes Golang, familiarity with TypeScript/React, and deep knowledge of smart contract development and distributed systems.

Skills: tokenization, rwa, blockchain, smart contract development, golang, typescript, react, solidity, rust, token standards, api development, sdk development, distributed systems, kafka, nats, zeromq

Summary: Candidates require a Bachelor's degree and 5+ years of related experience, or equivalent experience demonstrating applicable knowledge and scope. Desired technical knowledge includes ETL, SQL, relational/non-relational databases, cloud data processes, and enterprise-level data governance monitoring.

Skills: data platform management, infrastructure management, mentoring, data pipelines, etl, elt, data governance, data quality, data integrity, master data management, metadata strategy, business intelligence, analytics, sql, agile software development, scrum

Summary: The ideal candidate is a 'Player Coach' who has likely founded a company or served as a lead architect at an early-stage startup, enjoying hands-on technical work alongside team leadership. They must possess strong systems thinking skills, especially for asynchronous jobs, and be obsessed with debugging complex business logic and edge cases.

Skills: technical leadership, system design, asynchronous state management, fault tolerance, refactoring, architecture design, typescript, nest.js, react, graphql, aws, ecs, eks, lambda, ai-first approach, debugging

Summary: Candidates must have 5+ years in software engineering, including 3+ years in leadership roles, preferably within a fast-paced startup environment. Strong communication skills, experience with agile methodologies, and knowledge of testing/performance optimization are required.

Skills: team leadership, engineering management, career development, technical planning, kpi tracking, technical debt management, agile processes, system architecture, code quality, scalability, reliability, security, hiring, mentorship, stakeholder management

Summary: Candidates should have experience leading engineering teams of 15-30+ people through growth and possess a strong drive to experiment with new tools and methods to improve efficiency, including active practice with AI-assisted development. Deep experience with distributed systems (Celery, Redis, MySQL) and maintaining system health within SOC 2 Type 2 and HIPAA environments is also required.

Skills: engineering management, technical program management, ownership, accountability, continuous improvement, operational partnership, metric definition, developer velocity, deployment frequency, internal tooling development, ai-assisted development, distributed systems, soc 2 type 2 compliance, hipaa compliance, sdlc integration, roadmap alignment

Summary: Candidates must have proven experience leading multiple backend/platform teams in a SaaS or cybersecurity environment, with significant product ownership capabilities, including shaping roadmaps with limited PM support. Technical depth requires expertise in scalable backend architecture, data modeling, distributed systems, and cloud infrastructure, with a strong preference for Python experience.

Skills: backend engineering, platform engineering, saas, cybersecurity, cloud-scale, product ownership, vulnerability management, data pipelines, distributed systems, cloud infrastructure, devops, python, etl systems, graph databases, risk-based prioritization, resilience engineering

Summary: Candidates must possess a Bachelor’s Degree with 12+ years of experience (or equivalent experience) and hold a Secret Clearance along with a CompTIA Security+ certification or equivalent (IAT-2). Required experience includes administering Windows/Linux Servers, strong knowledge of Active Directory/Azure AD, and proficiency with tools like Ansible, Jira, Confluence, and Git.

Skills: microsoft azure, cloud architecture, cloud engineering, aws, google cloud, oracle cloud, devops, infrastructure as code, automation, zero trust, security, kubernetes, terraform, ansible, sql, nosql

Summary: Candidates must possess a Bachelor's degree or equivalent experience, along with over 8 years of hands-on infrastructure/DevOps experience and at least 3 years in people management within a SaaS or high-availability setting. Essential technical expertise includes deep Linux administration, cloud platforms (AWS/Azure/GCP), infrastructure-as-code, and experience managing incident response and operational procedures at scale.

Skills: people management, systems engineering, saas environments, linux administration, cloud platforms, infrastructure-as-code, containerization, orchestration, performance tuning, scripting, incident response, change management, automation, monitoring, networking fundamentals, technical roadmaps

Summary: Candidates must possess proven experience of 8+ years in software engineering, including at least 3 years in an engineering leadership role, with a strong background in development, preferably using Elixir/Phoenix or other functional programming languages. Essential requirements include experience with large-scale distributed systems and strong abilities in mentoring, problem-solving, and communicating complex technical ideas.

Skills: team leadership, mentoring, technical guidance, architectural guidance, scalability, security, maintainability, development lifecycle management, prioritization, cross-functional collaboration, process improvement, design reviews, strategic planning, elixir, functional programming, distributed systems

Summary: Candidates must possess a Bachelor's Degree in Engineering and a minimum of 10 years of direct experience in power plant design and construction, including 10 years in design, development, and deployment for complex, high-reliability facilities. A minimum of 3 years of proven experience managing an Engineering Team of 10-20 people is also required.

Skills: technical guidance, design planning, coordination, oversight, regulatory compliance, interface management, system design, team leadership, coaching, stakeholder management, program management, risk management, lean principles, nuclear safety, epc experience, geotechnical analysis

Summary: Candidates must possess over 5 years of experience in software engineering leadership, driving feature initiatives and demonstrating operational expertise aligned with business goals. Required technical skills include proficiency in modern backend/full-stack architecture, languages like Go or Python, and knowledge of cloud infrastructure (GCP, AWS, Azure) and Kubernetes.

Skills: software engineering leadership, strategy, development operations, backend proficiency, full-stack proficiency, go, python, communication, collaboration, team leadership, mentoring, cloud infrastructure, linux systems, kubernetes, distributed systems, ai

Summary: Candidates must possess over 5 years of experience in software engineering leadership, driving feature initiatives, and demonstrating operational expertise aligned with business goals. Required technical skills include proficiency in modern languages like Go or Python, experience with cloud infrastructure (GCP, AWS, or Azure), Kubernetes, and familiarity with distributed systems.

Skills: software engineering leadership, strategy, development operations, backend proficiency, full-stack proficiency, go, python, communication, collaboration, team leadership, mentoring, cloud infrastructure, linux systems, kubernetes, distributed systems, ai

Summary: Candidates should have at least two years of direct experience managing developer teams, ideally 5-7+ people, and possess core technical knowledge in Java, Spring, AWS, MongoDB, and PostgreSQL. A strong understanding of computer science principles, SDLC best practices, and the ability to thrive in ambiguity are also essential.

Skills: people management, strategic alignment, software development, platform engineering, java, spring, aws, mongodb, postgres, python, c#/.net, sdlc best practices, api design, scalability, reliability, coaching

Summary: Candidates need over 3 years of management experience in SRE, Production Engineering, or Platform/Infrastructure organizations, demonstrating customer obsession and strong partnership skills. Familiarity with SDLC concepts, data platform technologies, reliability best practices, public cloud platforms, and Linux internals is required.

Skills: sre, production engineering, platform engineering, scalability, resiliency, reliability, performance, efficiency, automation, sdlc, ci/cd, cloud platforms, linux systems internals, networking, kubernetes, terraform

Summary: Candidates need 7+ years of professional software engineering experience, including 2+ years directly managing engineers, with a strong track record of delivering complex projects. Essential requirements include solid system design fundamentals, experience partnering cross-functionally, and the ability to mentor engineers while balancing delivery pressure with long-term technical health.

Skills: people leadership, technical oversight, roadmap execution, reliability, quality, cycle planning, estimation, dependency resolution, system design, coaching, performance reviews, hiring, psychological safety, conflict management, emotional intelligence, communication

Summary: Candidates must possess 8+ years in software engineering, including at least 3 years in a senior leadership role within a high-growth startup, demonstrating expertise in modern cloud architecture and scaling complex distributed systems. Exceptional communication skills are required to translate technical concepts for non-technical stakeholders, alongside a genuine passion for renewable energy and the EV transition.

Skills: technical implementation, architecture, strategy, devops, security protocols, coaching, mentorship, accountability, continuous improvement, operational excellence, incident management, cloud architecture, distributed systems, production stabilization, cross-functional collaboration, roadmap planning

Summary: Candidates must have at least 7 years of professional software engineering experience, including 2 years directly managing engineers and experience leading teams of 4 or more. Essential requirements include solid system design fundamentals, architectural judgment, and demonstrated ability to mentor engineers and manage conflict constructively.

Skills: people leadership, technical oversight, roadmap execution, reliability, quality assurance, cycle planning, estimation, coaching, performance reviews, hiring, psychological safety, system design, risk management, process improvement, emotional intelligence, conflict resolution

Summary: Candidates need at least two years of formal engineering management experience leading teams to ship production software, supported by a strong technical foundation in building and operating production systems. Essential soft skills include high emotional intelligence, strong communication for giving feedback, and sound business judgment.

Skills: engineering leadership, typescript, react, node.js, next.js, redux, redis, cockroachdb, clickhouse, synadia nats, gcp, opentelemetry, prometheus, go, coaching, performance management

Summary: Candidates must have at least 7 years of professional software engineering experience, including 2 years directly managing engineers and experience leading teams of 4 or more. Essential requirements include solid system design fundamentals, architectural judgment, and demonstrated ability to mentor engineers and manage conflict constructively.

Skills: people leadership, technical oversight, roadmap execution, reliability, quality assurance, cycle planning, estimation, coaching, performance reviews, hiring, psychological safety, system design, risk management, process improvement, emotional intelligence, conflict resolution

Summary: Candidates must have 7+ years of professional software engineering experience, including 2+ years directly managing engineers, and a strong track record of delivering complex projects on schedule. Success requires solid system design fundamentals, the ability to mentor engineers, and strong communication skills to navigate ambiguity and manage conflict.

Skills: team leadership, product delivery, technical oversight, roadmap execution, reliability, quality assurance, cycle planning, estimation, dependency resolution, system design, coaching, performance reviews, hiring, psychological safety, conflict management, emotional intelligence

Summary: Candidates must have 8+ years in a full-time DevOps or SRE role, including 1+ years in management, preferably managing a remote team. Required technical experience includes 5+ years with EKS/Kubernetes, Github Actions, programming (Python, Go, or Ruby), and AWS Services, alongside proficiency in Infrastructure as Code tools like Terraform.

Skills: people leadership, delivery accountability, infrastructure planning, infrastructure automation, aws services, kubernetes, eks, github actions, python, go, ruby, ci/cd, docker, terraform, ansible, bash

Summary: Candidates must possess a Bachelor's degree in a related field or equivalent experience, along with 8-10 years of technical support experience and 5 years in financial services is strongly preferred. Advanced knowledge of iSeries troubleshooting is required, with preferred experience in establishing SLAs and working with regulatory and security laws.

Skills: iseries operations, system support, mentoring, application availability, performance tuning, iseries, rpg, etl processing, process improvement, root cause analysis, continuous monitoring, alerting, incident recovery, sla management, problem solving, documentation

Summary: Candidates must possess significant pre-sales or sales engineering experience, including 10+ years in security technical sales and 15+ years in overall technical sales, with a strong understanding of data and/or cloud security. Required technical knowledge includes hands-on experience with major cloud providers (AWS, Azure, GCP) and familiarity with data privacy standards.

Skills: data security, ai security, sales engineering, technical leadership, solution design, proof-of-concepts, data discovery, posture management, compliance, aws, azure, gcp, gdpr, nist 800-53, iso 27001, dspm

Summary: Candidates must have experience shipping and maintaining production systems, strong skills in system design, software architecture, and code review, along with familiarity with cloud platforms and modern development practices like CI/CD. A proven track record of mentoring engineers and clear communication skills are essential for this player-coach role.

Skills: mentoring, architecture, system design, code review, ci/cd, automated testing, observability, feedback, performance management, team culture, reliability, scalability, product delivery, technical judgment, context setting

Summary: Candidates must have 7+ years of professional software development experience, including significant work on distributed systems or data-intensive platforms, and proven experience building enterprise SaaS systems. Proficiency in Java, Python, or Typescript, along with experience deploying systems in GCP, is required.

Skills: data ingestion, data normalization, data enrichment, distributed systems, real-time processing, batch processing, cloud architecture, gcp, aws, azure, java, python, typescript, ai-assisted development, system design, scalability

Summary: Candidates must possess over 8 years of experience in data engineering, AI, ML platforms, or large-scale distributed systems, including hands-on experience integrating LLMs into production environments using methods like RAG and vector stores. A strong systems thinking approach, comfort working from ambiguity, and clear communication skills are also essential.

Skills: data engineering, ai systems, llm optimization, data science, large-scale data systems, ai agents, autonomous workflows, rag, vector stores, model evaluation, experimentation, data quality, observability, distributed systems, orchestration, fine-tuning

Summary: Candidates must have a minimum of 8 years of professional software engineering experience utilizing practices like Agile, TDD, CI/CD, and SCM. Required technical expertise includes building ETL pipelines, Python programming, proficiency with relational databases and advanced SQL (especially Postgresql), and experience with data cleaning and integration protocols.

Skills: agile software development, test driven development, ci/cd, source code management, etl pipelines, python programming, data cleaning, data modeling, schema design, api protocols, file-based protocols, relational databases, sql queries, postgresql, data observability tools, human-centered design

Summary: Candidates must have a minimum of 2+ years managing high-performing engineering teams and 5+ years as a software engineer, with a proven history of delivering innovative product experiences. Success requires effective cross-functional collaboration, the ability to thrive with high autonomy in ambiguity, and skills in fostering a healthy and inclusive work environment.

Skills: engineering management, developer productivity, llm agents, automation, product direction, user experience, data analysis, cross-functional collaboration, recruiting, team leadership, ai developer tools, software engineering

Summary: Candidates must possess a Bachelor's degree in a relevant field and extensive experience, including 10-12+ years in large-scale enterprise development and over 5 years leading software engineering teams, with deep knowledge of Java, SQL, and web technologies. Strong leadership, communication skills, and the ability to thrive in a fast-paced, innovative Agile environment are essential.

Skills: agile development, devops, continuous integration, java, sql, xml, html, css, javascript, jquery, object oriented programming, oracle, xsl, technical guidance, performance management, design concepts

Summary: Candidates must be interested in continually honing their craft, possess curiosity, appreciate quality, and communicate technical reasoning clearly. This internship is intended for individuals currently enrolled in an academic program (undergraduate or graduate).

Skills: typescript, haskell, research, prototyping, iteration, infrastructure building, ai service integration, agentic workflows, reliability, observability, cost efficiency analysis, cross-functional partnership

Summary: Candidates must be interested in continually honing their craft, possess curiosity, appreciate quality, and communicate technical reasoning clearly. Frontend interns specifically require experience with TypeScript, and experience with React is considered a plus.

Skills: typescript, haskell, react, static typing, ui development, codebase maintenance, technical communication

Summary: The ideal candidate must possess solid hands-on experience accelerating software development using AI, coupled with a passion for delivering real user impact and inspiring technical change through example. They should thrive in ambiguity, enjoy teaching, and have a proven track record of delivering results in complex software environments.

Skills: ai-enabled development, hands-on coding, software development, patient engagement, technical leadership, transformation driver, code review, architecture, prototyping, workflow establishment, metric measurement, mentoring, ai tools usage, software quality, delivery speed

Summary: Candidates must possess at least 8 years of relevant software engineering experience, including over 2 years in a formal people management role, preferably with a Bachelor's degree in a related field. Strong experience in coaching engineers, understanding modern software practices, and proficiency in Agile methodologies are essential.

Skills: people management, software engineering, technical roadmaps, engineering excellence, code quality, automated testing, system reliability, project management, resource allocation, agile development, technical strategy, python, architectural patterns, hiring, mentoring, cross-functional collaboration

Summary: Candidates must have hands-on people management experience in a dynamic environment, a high sense of ownership, and solid experience developing high-quality software for the JVM. A servant leadership mentality, excellent communication skills, and deep understanding of modern agile methodologies are also required.

Skills: people management, software quality, scalability, availability, efficiency, agile principles, automation, ai, team development, one-on-one meetings, technical teams collaboration, product management, support collaboration, hiring, technology strategy, jvm development

Summary: Candidates must have proven experience managing and influencing technical teams, with a deep passion for optimization in compilers, languages, and build systems. Essential technical background includes expertise in DevOps/DevInfra, Linux/Unix, cloud infrastructure, and proficiency in Java, with experience in asynchronous programming and delivering software at scale.

Skills: leadership, optimization, compilers, programming languages, build systems, bazel, cmake, devops, devinfra, linux, unix, cloud infrastructure, java, c++, rust, asynchronous programming

Summary: Candidates must demonstrate experience working with large, complex analytical datasets in a production environment, possessing strong SQL skills for building analytical models consumed by others. A product-oriented mindset, comfort in regulated environments, and familiarity with modern tooling like dbt, Airflow, and cloud data warehouses are expected.

Skills: sql, data modeling, data quality, automation, ai-assisted workflows, mentoring, communication, product-minded approach, analytical datasets, dbt, airflow, python, cloud data warehouses, traceability, auditability

Summary: Candidates must possess over 6 years of hands-on administration experience in production environments with at least two of Redshift, Snowflake, or PostgreSQL, alongside strong Python development skills. Essential knowledge includes database internals, optimization, high-availability deployments, security best practices, and familiarity with infrastructure-as-code tools like Terraform.

Skills: redshift, snowflake, postgresql, python, database internals, performance tuning, high-availability deployments, disaster recovery, database security, monitoring, alerting, troubleshooting, indexing strategies, query optimization, terraform, github

Summary: Candidates must possess 5+ years of experience in data engineering or related roles, demonstrating expert-level proficiency in Python for building production-grade systems. Essential technical requirements include strong experience with Kubernetes, Helm charts, infrastructure-as-code tools (like Terraform), cloud platforms (preferably AWS), dbt, and workflow orchestration tools like Airflow, alongside knowledge of modern data warehouses.

Skills: python, kubernetes, container orchestration, helm charts, infrastructure-as-code, aws, dbt, airflow, redshift, snowflake, software engineering best practices, ci/cd, automated testing, data quality, observability, product mindset

Summary: Candidates should have a background in Mechanical, Chemical, or Electrical Engineering and demonstrate results orientation, leadership, adaptability, and initiative. A nuclear security clearance is a condition of employment.

Skills: engineering calculations, design practices, problem-solving, technical specifications, stakeholder coordination, technical presentation, innovation, research, design review, maintenance support, procurement support

Summary: The ideal candidate must possess a degree in Engineering or a related field, along with substantial experience in engineering management or software development within a marketing or digital services context. Strong leadership skills, a passion for innovation, and an understanding of tourism industry technology trends are essential.

Skills: engineering management, project oversight, strategic alignment, technological advancements, marketing efforts, customer engagement, team leadership, development lifecycle, digital solutions, cross-functional collaboration, timeline management, quality standards, process optimization, continuous improvement, mentoring, innovation

Summary: The ideal candidate must possess a degree in Engineering or a related field, coupled with substantial experience in engineering management or software development within a marketing or digital services context. Strong leadership skills and a passion for innovation, particularly regarding technology trends in the tourism sector, are essential.

Skills: engineering management, project oversight, strategic alignment, technological advancements, marketing efforts, customer engagement, team leadership, development lifecycle, digital solutions, cross-functional collaboration, timeline management, quality standards, process optimization, continuous improvement, mentoring, innovation

Summary: Candidates must possess a BS degree in a technical discipline or an AA with significant relevant experience, along with 5-10 years working with VMware and Microsoft servers/workstations, including setup and troubleshooting expertise. Essential skills include excellent written and verbal communication, organization, leadership, and experience with database structure (Oracle preferred), DICOM, and networking.

Skills: project engineering management, technical leadership, process compliance, technology evaluation, new product introduction, system troubleshooting, vmware, microsoft servers, oracle database, dicom protocol, network technology, high performance computing, archival storage systems, documentation management, customer problem resolution, matrix management

Summary: The ideal candidate must possess a degree in Engineering or a related field, coupled with substantial experience in engineering management or software development, preferably within marketing or digital services. Strong leadership skills and a passion for innovation within the tourism technology sector are essential.

Skills: engineering management, software development, project management, team leadership, process optimization, quality assurance, cross-functional collaboration, mentoring, innovation, digital solutions, marketing technology, tourism industry trends, communication, fast-paced environment

Summary: The ideal candidate must possess a degree in Engineering or a related field, coupled with substantial experience in engineering management or software development, preferably within marketing or digital services. Strong leadership skills, a passion for innovation, and an understanding of tourism technology trends are essential.

Skills: engineering management, project management, software development, team leadership, process optimization, quality standards, cross-functional collaboration, continuous improvement, mentoring, technological advancements, digital solutions, communication, innovation, marketing, tourism industry trends

Summary: The ideal candidate must have a degree in Engineering or a related field, coupled with substantial experience in engineering management or software development, preferably within marketing or digital services. Strong leadership, a passion for innovation, and an understanding of tourism technology trends are essential.

Skills: engineering management, software development, project management, process optimization, team leadership, cross-functional collaboration, quality assurance, innovation, communication, digital solutions

Summary: The ideal candidate is a deeply technical leader passionate about delivering real impact to patients, who is already experimenting with AI tools in daily work and has extensive experience in complex software delivery, often in regulated environments. Success requires the ability to thrive in ambiguity, inspire technical leadership through results, and genuinely enjoy teaching and mentoring others.

Skills: ai-enabled development, hands-on coding, software delivery, technical leadership, product development, patient engagement, retention, continuity of care, prototyping, architectural changes, workflow establishment, mentoring, metric measurement, ai tools usage, regulated environments

Summary: Candidates must possess over 10 years of engineering leadership experience, including senior roles in cloud/platform engineering, with a proven track record of building and scaling B2B SaaS platforms and managing distributed teams. Deep technical expertise in Kubernetes, cloud-native architectures, large-scale infrastructure operations across AWS/GCP/Azure, and enterprise security frameworks is required.

Skills: cloud engineering, sre, devops, security, reliability, kubernetes, aws, gcp, azure, ci/cd, finops, distributed systems, observability, infrastructure-as-code, soc 2, iso 27001

Summary: Candidates need a minimum of 5 years in electrical project management, specifically involving industrial control or power systems, and preferably a Bachelor's degree in a related field. Essential qualifications include high proficiency in MS Office/Business Central, exceptional leadership and communication skills, and a strong commitment to safety.

Skills: project management, electrical systems, controls systems, safety management, budget management, schedule management, client satisfaction, resource allocation, subcontractor coordination, change order negotiation, ms business central, ms project, leadership, negotiation, conflict resolution, time management

Summary: Successful candidates must possess an architectural mindset and deep technical knowledge in at least two of the three core areas: Integration (MuleSoft), Data Analytics (Tableau), and Big Data/CDP (Data 360), alongside experience reframing technical challenges into business value for executives. A minimum of 7 years in Solution Engineering, Enterprise Architecture, or Digital Transformation is required, with familiarity in areas like database design, APIs, and cloud infrastructure preferred.

Skills: mulesoft, tableau, data 360, integration, analytics, data management, architectural design, api management, data unification, rag, fedramp, database design, java, cloud infrastructure, informatica, metadata intelligence

Summary: Join a mission-driven YC-backed startup in hypergrowth, with equity and generous benefits (health, dental, vision; 401(k); parental leave; PTO; retreats). The role focuses on AI-powered product features and scalable engineering leadership, offering a clear growth path in a fast-paced, collaborative culture. Note: US citizen/visa-only policy applies.

Skills: javascript, python, ruby on rails, machine learning, postgresql

Summary: Candidates need 2–5+ years of engineering management experience, plus 3–5 years as a high-performing individual contributor, with a strong understanding of software architecture and technical trade-offs. A key requirement is being 'AI Native,' understanding how software engineering is evolving, and demonstrating a people-first approach to problem-solving.

Skills: hiring, mentoring, coaching, performance management, engineering architecture, project leadership, organizational communication, technical debt management, career development planning, ai tools, full-stack initiative execution, roadmap influence, cross-functional execution, accounting domain knowledge, software architecture

Summary: Candidates must possess a Bachelor’s degree and at least five years of experience managing two or more Scrum teams in an Agile environment or equivalent leadership experience in software development. Applicants must reside in the US, be authorized to work in the US, and be able to obtain and maintain a Public Trust Clearance.

Skills: engineering leadership, delivery management, agile, safe, devops, technical excellence, release delivery, mentorship, quality assurance, automation, jira, data analysis, stakeholder communication, performance metrics, cross-team coordination, time management

Summary: Candidates must have a minimum of two years of experience as an engineering manager and five years as a software engineer, with proven success leading teams through rapid growth, ideally in a startup environment. Essential abilities include setting and executing strategic vision in dynamic settings, making pragmatic technical decisions, and demonstrating empathy for users.

Skills: engineering management, full stack engineering, team leadership, roadmap prioritization, technical decision making, speed quality maintainability balance, delivery ownership, operational excellence, recruiting, mentoring, career development, performance management, engineering practices definition, architecture definition, culture evolution, software contribution

Summary: Candidates typically require a University Degree and a minimum of 8 years of relevant experience, or an Advanced Degree with 5 years, or 12 years of experience without a degree. Required experience includes developing communications strategies, working with senior executives, stakeholder engagement, and utilizing data/analytics for measurement.

Skills: communications strategy, content creation, employee engagement, stakeholder engagement, executive communications, messaging, storytelling, campaign planning, analytics, digital communication tools, content management systems, counseling, presentation creation, change communications, relationship building, adaptability

Summary: Candidates must have demonstrable experience building and managing on-premise/bare metal environments and possess a strong bias toward action, ownership, and navigating ambiguity in complex problem spaces. Essential qualifications include experience supporting engineers, managing complexity, aligning stakeholders, and a deep understanding of distributed systems principles, alongside comfort using AI-assisted tooling.

Skills: hiring, team management, career development, product collaboration, project lifecycle guidance, psychological safety, continuous improvement, developer productivity, ai coding assistants, distributed systems, scalability, fault tolerance, observability, bare metal environments, kubernetes, ceph

Summary: Candidates must have demonstrable experience building and managing on-premise/bare metal environments and possess a strong bias toward action and ownership in complex problem spaces. Essential qualifications include experience guiding engineers, managing complexity, aligning stakeholders, and a solid understanding of distributed systems principles.

Skills: team management, kubernetes, storage provisioning, networking, bare metal environments, distributed systems, scalability, fault tolerance, observability, ai coding assistants, stakeholder alignment, career development, psychological safety, project lifecycle guidance, developer productivity, customer focus

Summary: Candidates must possess over 10 years of engineering leadership experience, including at least 3 years managing teams of 8 or more engineers in a high-growth setting, alongside strong experience in modern software development, particularly Java. Essential requirements include understanding architecture principles across various layers and demonstrated ability to manage ambiguity and technical challenges.

Skills: engineering leadership, team management, software development, java, javascript, kubernetes, apis, architecture principles, agile methodologies, jira, risk management, ai-assisted development, platform security, performance, coordination, communication

Summary: The ideal candidate needs over two years of experience leading engineering teams, with a solid background in building SaaS applications using Ruby on Rails and React, and experience leveraging external data for customer workflows. Strong leadership skills, technical expertise, business acumen, and a passion for attracting, developing, and retaining engineers are essential for success in this role.

Skills: engineering leadership, technical strategy, code quality, performance, mentorship, saas applications, ruby on rails, react, workflow automation, problem-solving, adaptability, roadmap development, talent development, stakeholder communication, recruiting

Summary: Candidates must have proven experience as an Engineering Manager with direct people management responsibility, including strong performance leadership and clear ownership of predictable delivery execution. Technical credibility is required to guide architecture and maintain standards, coupled with strong stakeholder partnership skills.

Skills: people leadership, mentoring, performance management, hiring, delivery ownership, roadmap execution, prioritisation, risk management, architectural decisions, distributed systems, microservices, domain-driven design, c#, .net, azure, kubernetes

Summary: Candidates must have demonstrable experience building and managing on-premise or bare metal environments, coupled with a strong bias for action and ownership in complex problem spaces. Essential qualities include experience guiding engineers, managing complexity, aligning stakeholders, and a deep customer focus grounded in distributed systems principles, alongside comfort using AI-assisted tooling.

Skills: hiring, team development, collaboration, project lifecycle guidance, psychological safety, continuous improvement, developer productivity, ai coding assistants, distributed systems, scalability, fault tolerance, observability, kubernetes, ceph, bare metal environments, colo facilities

Summary: Candidates must possess previous polyglot hands-on senior software engineering experience, including leading highly skilled senior teams to deliver high-quality software solutions. A strong understanding of system design, software architecture, cloud technologies, and DevOps methodologies is essential.

Skills: team management, agile delivery, technical leadership, quality assurance, system design, software architecture, cloud, devops, java, spring, micronaut, react, typescript, azure cloud, kubernetes, sql server

Summary: Candidates must possess 10-12+ years of experience in software or production systems engineering within a SaaS environment, including 3-5+ years of people leadership experience managing technical teams. Required expertise includes distributed systems, system design, operating in Microsoft Azure, strong scripting capabilities (Bash, Python, Ruby, or Go), and mastery of production observability tools.

Skills: site reliability engineering, cloud operations, platform reliability, scalability, security, performance, incident response, root cause analysis, infrastructure as code, terraform, ansible, azure, observability, python, bash, go

Summary: Candidates must have demonstrable experience building and managing on-prem/bare metal environments and possess a strong bias toward action and ownership in complex problem spaces. Essential qualifications include experience guiding engineers, managing complexity, aligning stakeholders, and a deep focus on customer needs and distributed systems principles.

Skills: hiring, team management, goal definition, project lifecycle guidance, psychological safety, cross-team collaboration, developer productivity, ai coding assistants, on-prem environments, bare metal environments, ownership, distributed systems, scalability, fault tolerance, observability, kubernetes

Summary: Candidates must have 10+ years of total experience, including 3+ years in management, building and leading diverse software engineering teams, with a strong product mindset for delivering complex projects. Required experience includes designing and building campaign management systems, delivering relevant APIs/UIs, and utilizing data/ML for campaign optimization.

Skills: campaign management systems, ad operations, apis, user interfaces, campaign creation, flighting, targeting, budget management, monitoring, troubleshooting tools, workflow automation, ml-driven insights, java, spring boot, react, graphql

Summary: Candidates must possess a Bachelor's degree in Mechanical Engineering or a related discipline and have 8 years of experience in mechanical design and integration of mission-critical systems, demonstrating a proven track record in relevant system designs. Strong expertise in liquid cooling architectures, thermal/structural analysis, and material selection for wetted components is essential.

Skills: mechanical design, data center infrastructure, liquid cooling, single-phase cooling, two-phase cooling, hydronic system design, structural integration, rack-level infrastructure, system performance requirements, component selection, wetted material selection, thermal analysis, structural analysis, design for manufacturability, fea, creo

Summary: Candidates need experience in technical education with knowledge of instructional design techniques and foundational software development knowledge, ideally having worked within code previously. A minimum of 5 years of related experience is required, or 3+ years with an advanced degree.

Skills: curriculum design, program management, project management, software development, content curation, instructional design, sme collaboration, curriculum roadmapping, assessment creation, customer discovery, vendor certification monitoring, audio production, video production

Summary: Candidates need a Bachelor's degree in Computer Science, IT, or equivalent experience, along with 3+ years of experience with big data technologies like Spark and cloud technologies like Databricks/AWS, and 3+ years working with RDBMS and SQL. Familiarity with the Healthcare industry, especially claims data, is preferred.

Skills: spark, databricks, etl processes, sql, data integration, data quality, data security, data pipelines, aws, azure, snowflake, rdbms, pl/sql, airflow, jira, healthcare

Summary: Candidates must possess a Bachelor’s Degree in CIS/CSE/MIS or equivalent experience, along with over 7 years of enterprise-level software development using the Microsoft technology stack. Strong leadership, decision-making, team management skills, and project experience with Scrum/Agile are essential personal attributes.

Skills: .net, c#, wcf, object-oriented design, solid, tdd, bdd, ddd, atdd, sql server, t-sql, agile, scrum, lean, visual studio 2010, soa

Summary: Candidates must possess a Bachelor's degree or equivalent experience, with a minimum of 6 years of professional experience, demonstrating strong proficiency in Node.js, JavaScript, and TypeScript. Required technical expertise includes experience with REST APIs, Git, CI/CD pipelines, AWS services, Terraform, and a solid understanding of secure coding practices.

Skills: node.js, javascript, typescript, rest apis, git, ci/cd pipelines, agile development, aws, terraform, frontend development, relational databases, secure coding practices, threat modeling, reactjs, event-driven workflows, root-cause analysis

Summary: A Bachelor's degree in IT or related field, or equivalent experience, is required, along with a minimum of 8 years in IT roles and 5 years in leadership/people management. Candidates must be eligible to work in the US without sponsorship and possess strong skills in leadership, communication, and managing large-scale IT transformations.

Skills: cloud migration, client migration, platform retirement, prior authorization, utilization management, infrastructure, software development, cybersecurity, people management, stakeholder management, budget management, financial planning, aws, pega, java, c#

Summary: Candidates must have 8+ years of relevant work experience, including leading software engineering teams with delivery accountability and a strong hands-on background in C#/.NET and SQL Server. Proven experience delivering and operating SaaS products, along with a demonstrated player/coach leadership style, is required.

Skills: software engineering, people leadership, technical leadership, architecture, code reviews, product expertise, scrum, saas, .net, sql server, c#, delivery accountability, mentorship, cross functional collaboration

Summary: Candidates must possess a Bachelor's degree or equivalent experience, with eight or more years in software engineering, including at least five years leading managers or large teams. Essential qualifications include experience delivering highly available, customer-facing technology platforms and a strong understanding of modern software design, cloud technologies, AI, and distributed systems.

Skills: software engineering leadership, voice systems, ai, ivr, conversational ai, system integrations, cloud solutions, security, reliability, performance, apis, distributed systems, project management, team leadership, stakeholder management, continuous improvement

Summary: A Bachelor's degree is required, with an advanced degree preferred in a related technical or business field, alongside progressive engineering leadership experience comparable to 12+ years. Candidates must have over 5 years in senior leadership managing software engineering teams in digital product organizations and proven expertise in cloud technologies, microservices, and DevOps.

Skills: product engineering leadership, engineering strategy, operating mechanisms, high-performance culture, product management collaboration, ux collaboration, data science collaboration, security compliance, scalable platforms, end-user experiences, modern engineering practices, ai-enabled productivity, technical direction, architecture oversight, agile, devops

Summary: Candidates must have 10+ years of software engineering experience, including 5+ years in formal management, and proven success building consumer-facing full-stack web products using modern technologies like Node.js, TypeScript, and React. Strong experience designing systems for bursty, high-concurrency traffic and building teams from scratch is also required.

Skills: full stack engineering, team leadership, technical strategy, node.js, typescript, react, cloud-native architectures, ci/cd pipelines, infrastructure-as-code, postgresql, mysql, observability, auto-scaling, event-driven systems, cross-functional collaboration, system design

Summary: Candidates must possess a Bachelor's degree in a related field and have 7+ years of combined experience in Salesforce and .NET development, including 3+ years leading engineering teams. Strong proficiency in specific technologies like Apex, C#, ASP.NET Core, and CI/CD tools is required, with Salesforce and Azure certifications being highly preferred.

Skills: salesforce, net, apex, lwc, flows, c#, asp.net core, mvc, web api, gearset, azure devops, ci/cd, agile/scrum, data model design, territory management, process builder

Summary: Candidates must possess over 10 years of enterprise application development experience, including at least 3 years of hands-on AI/ML experience in production environments. Deep expertise in Databricks technologies like PySpark and Delta Lake, along with experience building AI agents using AWS GenAI tooling, is required.

Skills: ai, data engineering, databricks, pyspark, delta lake, workflows, medallion architecture, sql, nosql, llms, openai, claude, langchain, aws genai, ci/cd, data quality

Summary: Candidates must have 5+ years of industry experience in applied Machine Learning, inclusive of an MS or PhD in relevant fields, and must possess experience in both Natural Language Processing and Computer Vision. Strong programming skills in languages like Scala or Python, deep understanding of ML best practices, and experience with technologies such as Tensorflow, PyTorch, or Spark are required.

Skills: machine learning, data engineering, natural language processing, computer vision, scala, python, java, c++, tensorflow, pytorch, kubernetes, spark, airflow, kafka, hive, a/b testing

Summary: Candidates must possess a Bachelor's degree in a related field or equivalent experience, including over 10 years in large-scale software product engineering and at least 2 years in software management experience. Proven ability to mentor, define strategy for scalability, communicate effectively across all levels, and manage workload to meet deadlines is essential.

Skills: team leadership, people development, mentoring, coaching, ci/cd, unit testing, functional testing, process improvement, product management collaboration, onboarding, training material development, engineering best practices, sdlc improvement, secure coding practices, succession planning, conflict resolution

Summary: Seed-stage YC-backed startup offers a founding technical closer role with direct founder interaction, enabling you to shape GTM motion and revenue impact as the company scales.

Skills: sql

Summary: Candidates must possess proven experience of 8+ years in software engineering, including at least 3 years in an engineering leadership role, with a strong background in development, preferably using Elixir/Phoenix or other functional programming languages. Essential requirements include experience with large-scale distributed systems, the ability to mentor engineers, strong problem-solving skills, and a solid understanding of software development best practices and DevOps principles.

Skills: team leadership, mentoring, technical guidance, scalability, security, maintainability, development lifecycle management, prioritization, cross-functional collaboration, process improvement, code quality, design reviews, strategic planning, elixir, phoenix, functional programming

Summary: Candidates must have over 10 years in software development and 3+ years in management, with proven experience building resilient, secure distributed systems at scale using hyperscale CSPs like AWS, Azure, and GCP. Deep technical proficiency in Kubernetes and container internals is required, alongside strong leadership, hiring, and prioritization skills.

Skills: engineering leadership, distributed systems, kubernetes, container-based runtimes, security, isolation, identity, networking, cloud-native infrastructure, roadmap definition, cost-efficiency, mentoring, api governance, operational hygiene, observability, ai-driven tools

Summary: Minimum requirements include a Bachelor's degree and 5+ years of technical leadership experience, or a high school diploma/GED with an additional 4+ years of technical leadership experience. Desired characteristics include aviation/aerospace background, proven customer relationship skills, exceptional communication abilities, and strong leadership capabilities.

Skills: people leadership, diagnostics engineering, analytics development, customer communication, strategic planning, predictive maintenance, project management, lean principles, kpi management, problem solving, stakeholder management, executive presence, talent development, coaching, mentoring, risk management

Summary: Candidates must have 10+ years of professional experience in data engineering, with at least 5 years in leadership roles, demonstrating success in leading engineering teams and delivering large-scale projects. Essential technical expertise includes strong SQL, database design, and experience with a scripting language like Python or Node, alongside a strong understanding of production service nuances.

Skills: sql, database design, python, node, observability, alerting, change management, data warehousing, identity resolution, attribution infrastructure, system architecture, leadership, mentorship, project management, data engineering, analytics

Summary: Candidates must have 8-12+ years of engineering experience, including over 5 years leading engineering managers or multi-team organizations, with a Bachelor’s Degree in Computer Science, Engineering, or equivalent experience. Required expertise includes strong operational leadership, proven success in structured delivery initiatives, experience with CRM platforms like Salesforce, and familiarity with modern web technologies and cloud environments.

Skills: engineering leadership, strategic planning, operational leadership, roadmap execution, capacity planning, delivery tracking, stakeholder communication, cross-functional partnership, quality assurance, salesforce, web technologies, api-driven architectures, cloud environments, agile principles, sdlc practices, team mentoring

Summary: Candidates must possess over 10 years of industry experience, including 5+ years in engineering leadership managing teams to deliver substantial products, ideally within a high-growth SaaS environment. Essential technical requirements include deep knowledge of a high-level programming language, familiarity with front-end stacks, cloud infrastructure (AWS/GCP), and experience with scalable distributed systems.

Skills: product ownership, engineering leadership, saas product building, java, javascript, go, python, web fundamentals, react, vuejs, svelte, angular, aws, google cloud, scalable distributed systems, agile

Summary: Candidates must have strong interest and comfort leveraging AI tools, coupled with over 3 years of team management experience, preferably in a startup environment. Strong technical skills, particularly in Python and cybersecurity knowledge, are required for this role.

Skills: team management, technical leadership, roadmap driving, codebase contribution, technical quality ownership, delivery execution, objective setting, risk anticipation, code review, architecture design, ai tools leverage, python, cybersecurity, remote work, async-first

Summary: Candidates must possess deep SRE expertise and senior-level management experience, including 5+ years managing engineering teams and 8+ years in SRE/Platform roles, having operated at scale and driven reliability strategy organizationally. Essential technical judgment covers cloud-native systems, modern infrastructure practices, and proven ability to lead through significant production incidents.

Skills: site reliability engineering, leadership, reliability strategy, operational excellence, roadmap definition, incident management, observability, performance tuning, slos, capacity planning, cloud-native systems, aws, iac, ci/cd, technical judgment, stakeholder management

Summary: Candidates need 6 to 10+ years of experience, including 1 to 3 years supervising and directing people to achieve specific results within limited timeframes. Required technical expertise includes retail technology experience, deep data engineering guidance, experience with tools like Google Big Query/Snowflake/Databricks, and experience leading data engineering teams as a manager.

Skills: mentorship, coaching, goal setting, end-to-end delivery, agile methodologies, custom software development, packaged software, saas tools, quality assurance, budgeting, information security, performance management, program management, data-driven analysis, digital strategy, talent development

Summary: Candidates must possess a degree in Mechanical Engineering or a similar constructive field, coupled with several years of experience in special machine construction or complex plant engineering, ideally involving rotating systems. Essential qualifications include deep knowledge of complex assembly design, proficiency in 2D/3D CAD (AutoCAD, Inventor), PDM (Vault), and ERP systems (ABAS), combined with strong leadership and economic acumen.

Skills: engineering leadership, turbine technology, mechanical design, construction management, process optimization, cad systems, pdm systems, erp systems, technical standards, r&d interface management, supply chain management, technical coordination, economic thinking, team development, communication, decision making

Summary: Candidates must have 10+ years of software engineering experience, including at least 3 years managing teams, with deep expertise in distributed systems, containerization (Docker, Kubernetes), and cloud infrastructure. A proven ability to ship software for customer-managed/enterprise IT environments and strong collaboration skills are essential.

Skills: distributed systems, infrastructure software, containerization, cloud infrastructure, docker, kubernetes, job scheduling, resource management, hpc, scientific computing, simulation workflows, c++, architecture design, team leadership, product strategy, export control

Summary: Candidates must possess over 10 years of experience in enterprise SaaS delivery, Professional Services, or Forward Deploy models, including 3 to 5+ years leading managers in a customer-facing engineering organization. Strong commercial acumen, comfort operating against financial targets, and proven executive communication skills are essential, with insurance experience being a significant advantage.

Skills: enterprise saas delivery, professional services, forward deployed models, leading managers, customer-facing engineering, delivery outcomes, commercial acumen, financial targets, executive communication, b2b saas, insurance, ai-native platform, implementation model, conflict resolution, headcount planning, data analysis

Summary: Candidates must have over 10 years of experience in data and analytics, including at least 5 years leading high-performing cross-functional teams, preferably within a regulated industry like fintech or lending. Proven success in scaling data teams and platforms, strong communication skills, and strategic thinking balanced with execution capability are essential.

Skills: data strategy, data engineering, analytics, cloud-first, data governance, fivetran, dbt, snowflake, tableau, data lineage, self-service reporting, machine learning ops, data observability, team leadership, mentoring, ai

Summary: Candidates must possess a degree in Mechanical Engineering with a focus on design, coupled with several years of experience in special machinery or complex plant engineering, ideally involving rotating systems. Essential qualifications include proficiency in 2D/3D CAD (AutoCAD, Inventor), PDM (Vault), and ERP systems (ABAS), alongside proven leadership experience in an engineering environment.

Skills: mechanical engineering, design excellence, organizational clarity, team leadership, mechanical design, project management, process optimization, cad systems, pdm systems, erp systems, revisions security, manufacturing-oriented design, economic thinking, decision making, communication, technical coordination

Summary: Candidates must have a strong software engineering background, ideally with backend experience in Go, and familiarity with core authentication concepts like OAuth 2.0, SAML, and RBAC. Essential qualifications include proven people management skills, the ability to drive work forward in complex security-sensitive areas, and comfort collaborating remotely.

Skills: people management, roadmap planning, project lifecycle management, security-first thinking, technical rigor, architectural decisions, go, oauth 2.0, saml, rbac, oidc, jwt, distributed systems, mentoring, ai-assisted tooling, leadership

Summary: Candidates must have experience leading engineering teams in fast-moving environments, possessing deep hands-on experience designing and operating production systems, and a proven track record of building and shipping data platforms and data products where integrity is crucial. Essential requirements include experience with multi-source data integration, operating with ambiguity, clear communication, and a deep commitment to building patient-impacting technology while taking patient trust seriously.

Skills: data strategy, engineering strategy, platform development, data ingestion, data curation, multi-modal datasets, genomics data, health data, patient data, data quality, data lineage, sdlc, security-by-design, team leadership, hiring, coaching

Summary: Candidates need over 10 years of software engineering experience, including at least 4 years in senior leadership, with deep hands-on expertise in C# and the .NET ecosystem. Proven experience scaling enterprise SaaS applications on Azure PaaS and embedding agentic AI into products and workflows is mandatory.

Skills: c#, net ecosystem, azure paas, agentic ai, llm orchestration, distributed systems, event-driven architecture, microservices, ci/cd, security, observability, scalability, cloud cost efficiency, azure openai service, semantic kernel

Summary: Candidates must have a strong software engineering background, ideally with backend experience in Go, sufficient to engage in technical design discussions regarding authentication and authorization protocols like OAuth 2.0, SAML, and RBAC. Essential requirements include proven people management skills, comfort with distributed systems principles, and the ability to drive work forward in a complex, security-sensitive environment.

Skills: people management, roadmap planning, project lifecycle management, cross-functional collaboration, security-first thinking, technical rigor, architectural decisions, authentication flows, multi-tenant design, go, oauth 2.0, saml, rbac, oidc, jwt, distributed systems

Summary: Candidates must possess over 10 years of professional software engineering experience, including hands-on expertise in C#, .NET Core, and Entity Framework, alongside 4+ years in architecting scalable software systems. A minimum of 5 years in engineering management or technical leadership is required, along with experience in front-end development using Angular and back-end development using C#.

Skills: software engineering management, player/coach, .net, c#, .net core, entity framework, angular, system architecture, cloud platforms, ci/cd, kubernetes, microservices, hipaa, gdpr, fullstack development, leadership

Summary: Candidates need substantial general work experience (over 6 to 10 years) combined with comprehensive job-related experience, plus 1 to 3 years of managerial experience supervising and directing resources to achieve results. Prior experience with PTC FlexPLM, retail/product development technology, and data engineering is specifically mentioned as technical skills.

Skills: product development, team leadership, roadmapping, software engineering, java, kotlin, angular, .net, azure, flexplm, data engineering, agile, design thinking, project management, talent management, coaching

Summary: Candidates must have 3+ years of experience as a Data Platform Engineer or similar role, with hands-on expertise in building cloud-based data platforms, especially utilizing AWS services and Terraform. Solid experience building streaming data pipelines with technologies like Flink or Kafka is required.

Skills: terraform, aws, cloud services, infrastructure automation, ci/cd pipelines, streaming data processing, apache flink, apache kafka, spark structured streaming, data lakehouse, databricks, snowflake, dbt, airflow, python, java

Summary: Candidates need a minimum of a Bachelor’s Degree, at least 7 years in software development, and 5 years in people management, with preferred qualifications including a Master's degree and 10+ years of development experience. Experience in launching products from the ground up and utilizing Agile practices is also desired.

Skills: node.js, java, go, react, python, rest, json, nosql, relational databases, aws, cloud infrastructure, machine learning, big data, microservices, agile

Summary: Candidates must have a minimum of 5+ years of experience with Python and Flask, along with 5+ years using relational databases like PostgreSQL, and at least 1+ year in a Full-Stack Engineering leadership role. Experience in cloud environments like AWS is preferred.

Skills: python, flask, sqlalchemy, django, full-stack engineering, postgresql, graphql, aws, gcp, azure, architectural decisions, code reviews, mentorship, technical leadership

Summary: Candidates must possess over 12 years of software development experience, including a strong foundation in distributed systems, cloud-native architectures, and data platforms, alongside a minimum of 5 years leading engineering teams. Expertise in a major cloud platform (AWS, Azure, GCP, OCI) and practical experience with state-of-the-art AI/ML technologies are essential.

Skills: software development, team leadership, distributed systems, cloud-native architectures, artificial intelligence, machine learning systems, data platforms, hiring, mentoring, sdks, apis, microservices, technical roadmap, engineering excellence, data governance, cloud platform expertise

Summary: Candidates must have 15+ years of experience in Reliability Engineering or related roles, including principal/architect experience, with a strong background in driving strategic technical decisions and defining long-term vision. Required technical expertise includes deep knowledge of cloud architecture, DevOps practices, large-scale systems design, Kubernetes (EKS), Terraform, and observability tools.

Skills: reliability engineering, software engineering, devops, technical strategy, system design, kubernetes, aws, terraform, observability, incident response, disaster recovery, capacity management, slos/slis, distributed systems, go, python

Summary: Candidates must have 6+ years of related experience, including 4+ years managing diverse, geographically dispersed teams, and a Bachelor's degree in a relevant field. Essential qualifications include experience delivering data-intensive software products at scale, understanding of software engineering, statistics, and machine learning fundamentals, and experience with distributed cloud computing.

Skills: servant leadership, mentoring, coaching, product delivery, strategy definition, tactical decision making, process refinement, task planning, code reviews, on-call rotations, engineering practices, inference pipelines, cloud computing, change management, tech debt management, geospatial data

Summary: Candidates must have over 7 years of hands-on development experience with Java and Spring Boot, coupled with 3+ years of experience building and managing high-performance engineering teams. Strong expertise in event-driven architecture, GraphQL API design, AWS services, and microservice architecture is required.

Skills: ai, java, spring boot, graphql apis, event-driven architectures, microservices, aws, kubernetes, llm, mcp, agents, sql, nosql, docker, kafka, terraform

Summary: Candidates must have 15+ years of experience in Reliability Engineering or related roles, including principal/architect experience, with a strong background in driving strategic technical decisions and defining long-term vision. Required technical expertise includes deep knowledge of cloud architecture, DevOps practices, large-scale systems design, Kubernetes (EKS), Terraform, and observability tools.

Skills: reliability engineering, software engineering, devops, technical strategy, system design, kubernetes, aws, terraform, observability, fault-tolerant architectures, incident response, disaster recovery, capacity management, slos/slis, distributed systems, go

Summary: Candidates must possess a strong engineering background in Robotics, Mechatronics, or Computer Science, coupled with at least three years of experience developing with Python and comfort in Linux environments. Essential requirements include hands-on experience with robotics or Physical AI systems and excellent communication skills for cross-functional and customer-facing roles.

Skills: robotics, data engineering, machine learning, artificial intelligence, python, c++, java, linux, teleoperation, simulation, data capture solutions, model building, technical pilots, pre-sales, post-sales, data quality

Summary: Candidates must possess an active Secret security clearance and have 12+ years of relevant experience, substitutable by a bachelor's degree for 5 years. Required certifications include one from Project/Program Management (PMP, SAFe, PSM) and one technical certification (Cloud SA Professional, DoD 8570 IAT-II, or ITIL Foundations).

Skills: project management, resource management, business analysis, agile, safe, cyber security, infrastructure, requirements definition, governance, stakeholder engagement, itaas, saas, paas, cloud technologies, cybersecurity, enterprise modernization

Summary: Minimum qualifications require a Bachelor's degree plus 8 years of related experience or equivalent advanced degrees, along with at least 3 years of management experience combining Software Engineering, Site Reliability Engineering, and Observability expertise. Candidates must have experience supporting customers in a SaaS environment and be a US Citizen due to FedRAMP responsibilities.

Skills: observability, software development, site reliability engineering, metrics, tracing telemetry, micro-services, cloud, saas, strategy, vision, project execution, communication, collaboration, aws ec2, s3, kubernetes

Summary: Candidates need several years of technology leadership experience, strong technical depth relevant to their engineers, and specific experience or strong interest in payments, cashier, financial systems, or highly regulated platforms. A key requirement is an AI mindset, showing curiosity and eagerness to adopt and advocate for responsible AI-first development practices.

Skills: people leadership, team health, engineering excellence, payments, cashier, platform capabilities, ai-augmented development, responsible ai practices, product delivery, technical health, stakeholder alignment, compliance, security, hiring, agile development, mentoring

Summary: Candidates must possess a Bachelor's degree in a related field and have a minimum of 7-10 years of progressive hospitality facilities management experience, including at least 3 years in a leadership capacity. Strong knowledge of building systems, codes, budget management, and proven leadership skills are essential.

Skills: facilities management, engineering operations, asset management, capital budgeting, expense monitoring, vendor management, stakeholder relations, esg program, energy strategies, capital execution, renovation projects, building systems knowledge, regulatory compliance, financial forecasting, leadership, project prioritization

Summary: Candidates must possess a minimum of 7 years in mobile software development and 2 years in engineering management, demonstrating strong knowledge of mobile architectures and the full software development lifecycle. Essential abilities include recruiting, mentoring talent, operating within an agile environment, and possessing enthusiasm for leveraging AI tools to boost productivity.

Skills: mobile engineering management, ios development, android development, team mentoring, performance reviews, career development, technical guidance, code quality improvement, ci/cd pipelines, agile/scrum, ai coding assistants integration, bluetooth low energy (ble), nfc integration, websockets, rest, graphql

Summary: Candidates must possess 6+ years of professional software development experience with deep exposure to fintech, payments, or accounting systems, ideally from finance-heavy companies or early-stage startups building financial infrastructure. Strong backend skills in TypeScript and Postgres, experience with Stripe API and ERP integrations, and comfort leading complex initiatives are essential.

Skills: fintech, payments, accounting systems, typescript, postgres, stripe api, erp integrations, reconciliation, alerting, monitoring, roadmap definition, system architecture, people management, cross-functional leadership, compliance

Summary: The ideal candidate must possess hands-on technical depth, capable of building and reviewing architecture, and must have experience leading engineering teams through significant process or tooling changes. Fluency in using AI-assisted development tools productively and strong people leadership skills for coaching and navigating complex personalities are essential.

Skills: people leadership, technical leadership, engineering operations, delivery management, developer experience, ai-assisted development, process design, tooling evolution, quality standards, cycle time optimization, ci/cd pipelines, testing infrastructure, security scanning, cloud-native architectures, serverless architectures, hiring

Summary: Candidates must possess a Bachelor’s Degree with 12+ years of experience or a Master’s with 10+ years, and hold a Secret Clearance along with a CompTIA Security+ or equivalent certification. Required experience includes managing Azure, networking, IaaS/PaaS, SQL systems, and implementing DevSecOps tools like Terraform and Ansible.

Skills: microsoft azure, cloud architecture, cloud engineering, aws, google cloud, oracle cloud, devops, infrastructure as code, terraform, ansible, kubernetes, security, zero trust, sql, nosql, mentoring

Summary: Candidates must have 8+ years of experience combining customer-facing technical roles and engineering/product management, with proven success leading senior engineering teams in a customer-facing capacity. Essential requirements include demonstrated ability to design complex full-stack solutions and strong executive presence for effective stakeholder communication.

Skills: leadership, mentoring, team scaling, technical standards setting, customer empathy, executive engagement, solution design, full-stack development, api integration, backend services, data modeling, ui/ux, pre-sales support, roadmap alignment, saas platforms, executive presence

Summary: Candidates need a minimum of a high school diploma/GED with 2 years of experience, or an Associate's or Bachelor's degree, along with 3 years of required work experience, preferably 5 years. Preferred qualifications include 1 year of leadership experience and proven expertise in managing quality within Google Cloud Platform (GCP) and advanced automation tools like Playwright and Appium.

Skills: quality engineering, release readiness, risk mitigation, shift-left, shift-right, observability analytics, automation frameworks, playwright, appium, ci/cd integration, ai-enabled qe, self-healing automation, predictive defect analytics, generative ai, gcp environments, devops

Summary: Candidates must have 8+ years of experience combining customer-facing technical roles (like solutions engineering or consulting) with engineering or product management roles, demonstrating proven success in leading senior engineering teams in a customer-facing capacity. Essential requirements include strong technical expertise in modern full-stack architectures, executive presence for stakeholder influence, and proven ability to support the sale of professional services.

Skills: leadership, mentoring, scaling teams, technical standards setting, customer empathy, executive engagement, solution design, full-stack development, api integration, backend services, data modeling, ui/ux, pre-sales support, roadmap alignment, saas platforms, executive presence

Summary: Candidates must have 8+ years of experience combining customer-facing technical roles with engineering or product management, including proven success leading senior engineering teams in a customer-facing capacity. Essential qualifications include demonstrated ability to design complex full-stack solutions and strong executive presence for effective stakeholder communication.

Skills: team leadership, mentoring, scaling teams, technical standards setting, customer empathy, executive engagement, solution design, full-stack development, api integration, backend services, data modeling, ui/ux, pre-sales support, roadmap alignment, saas platforms, executive presence

Summary: Candidates must have over 10 years of experience in data/platform engineering with significant time managing engineers, demonstrating success in scaling teams and setting technical direction. A strong track record in planning and executing large technical initiatives, coupled with the ability to make pragmatic architectural decisions in ambiguous environments, is required.

Skills: data engineering, platform engineering, infrastructure engineering, team management, technical judgment, system design, data pipelines, streaming data, batch processing, machine learning, experimentation, scalability, reliability, architecture, incident response, stakeholder management

Summary: Candidates must possess over 4 years of experience as a Construction PM, Owner’s Engineering PM, or Development and Execution PM in renewable energy projects, holding a degree in Energy, Electrical, Mechanical, or Civil Engineering. Essential requirements include proficiency in Project Management Tools, knowledge of key contractual aspects, strong leadership, and fluency in Italian (mother tongue/proficient) and English.

Skills: project management, detailed engineering review, contract compliance, team leadership, quality assurance, progress validation, regulatory compliance, claim management, change orders, accident investigation, fats, sats, commissioning, performance tests, ms project, contractual aspects

Summary: Candidates must possess a Bachelor’s Degree in Technology or equivalent experience, with a minimum of 10 years in technical, customer-facing roles, including at least 5 years leading management teams. Proficiency in selling network security technologies like firewalls, VPNs, and DLP is required, along with the ability to travel up to 40%.

Skills: sales engineering leadership, technical sales strategy, customer relationship management, team building, process scaling, executive sponsorship, network security, ssl, web technologies, firewalls, vpns, dlp, end-user monitoring, value-based storytelling, cybersecurity

Summary: Candidates must possess strong project management skills, commercial awareness, and a structured, analytical approach to solving technical issues, ideally with experience managing engineering projects within the automotive sector. Essential attributes include confidence in communicating with all levels of stakeholders, a customer-focused mindset, the ability to work both independently and collaboratively, and an entrepreneurial spirit for evaluating emerging technologies.

Skills: project management, commercial awareness, analytical approach, technical problem-solving, engineering project management, stakeholder communication, customer focus, independent work, teamwork, technology evaluation, microsoft project, manufacturing processes, r&d funding applications, technology development

Summary: Candidates must have several years of experience as an Engineering Manager or Staff Team Lead in agile software teams, including proven people leadership, hiring, and coaching experience. Solid programming knowledge (preferably Ruby/JavaScript) is required to competently lead architectural discussions, alongside strong English skills and a passion for AI development.

Skills: people leadership, team development, coaching, performance management, hiring, onboarding, agile rituals, quality standards, roadmap planning, ruby on rails, ruby, javascript, ai implementation, delivery management, technical decision making, incident learning

Summary: Candidates must possess over 10 years of software engineering experience, including significant hands-on work with C#, .NET Core, and Entity Framework, alongside 4+ years in architecting scalable systems. Required leadership experience is 5+ years, coupled with skills in both Front End (Angular) and Back End (C#) development, and experience managing distributed teams.

Skills: software architecture, system design, scalability, security, performance, c#, .net core, entity framework, angular, ci/cd, kubernetes, microservices, hipaa, gdpr, technical leadership, mentoring

Summary: Candidates must have 5+ years in backend or infrastructure engineering roles, including at least 2 years managing or mentoring engineers, along with strong project management skills and excellent English communication. Required technical experience includes cloud platforms (GCP preferred) and the ability to maintain and improve core infrastructure components.

Skills: cloud infrastructure, ci/cd, observability, people management, technical leadership, project management, google cloud platform, terraform, infrastructure as code, container orchestration, docker, kubernetes, github actions, jenkins, spinnaker, python

Summary: Candidates must have a minimum of seven years in data engineering or data warehouse architecture, including at least three years in a technical leadership role and two years of supervisory experience. Deep expertise in Databricks architecture (Delta Lake, Spark, MLflow) and hands-on experience deploying infrastructure on Microsoft Azure are required, with a strong preference for healthcare compliance experience.

Skills: databricks, azure data services, devsecops, ci/cd automation, data architecture, mentoring, delta lake, apache spark, mlflow, azure data factory, azure sql, infrastructure-as-code, github actions, azure devops, ai, machine learning

Summary: Candidates must have over 5 years as a software engineer building cloud-native web applications and at least 2 years managing engineering teams, with comfort in providing technical feedback and code reviews. Essential qualifications include skill in building secure, compliant systems on major cloud platforms (GCP preferred) and familiarity with modern frameworks, containers, and databases.

Skills: people management, project management, technical leadership, software engineering, full-stack development, typescript, react, nextjs, node, security compliance, architecture, cloud native, gcp, aws, kanban, scrum

Summary: Candidates must possess over 5 years as a software engineer building cloud-native web applications and at least 2 years managing engineering teams, with comfort in providing technical feedback. Required technical skills include experience with major cloud platforms (GCP preferred), modern frontend frameworks, containers, and databases, alongside proficiency in agile methodologies like Kanban and Scrum.

Skills: people management, project management, technical leadership, full-stack development, typescript, react, nextjs, node, security compliance, architecture design, cloud platforms, gcp, aws, containers, databases, hiring and mentorship

Summary: Candidates must have 3-5 years of experience in Fulfillment Operations, Process Improvement, or Program Management, ideally holding a Bachelor’s Degree in a technical field like Engineering or Mathematics. Essential qualifications include experience with LEAN/Six Sigma in production environments and a proven track record of driving results in ambiguous situations.

Skills: process engineering, operational processes, process development, wms, stakeholder communication, sop development, training organization, data utilization, roadmap design, process rollouts, feedback collection, compliance management, lean, six sigma, problem solving, communication

Summary: Minimum requirements include a Bachelor's degree in a related field plus 8 years of engineering experience, including 3 years of direct people management, with proven experience scaling data platforms for ML workflows and enforcing data quality frameworks. Preferred qualifications suggest 10+ years of experience, including 5+ years managing teams, and strong technical foundations in modern data stacks and Lakehouse architecture.

Skills: data platforms, machine learning workflows, data quality frameworks, slas, observability, databricks, spark, python, sql, aws, streaming systems, orchestration frameworks, distributed systems architecture, lakehouse architecture, devops, terraform

Summary: Candidates should possess platform engineering experience building internal tools or infrastructure, full-stack depth in React/TypeScript and Node.js, and experience with infrastructure operations like CI/CD and incident response. Leadership experience, systems thinking, and strong communication skills are also necessary.

Skills: platform engineering, internal tools, developer platforms, infrastructure, react, typescript, node.js, ci/cd pipelines, monitoring, alerting, incident response, design system, authorization, audit logging, configuration management, systems thinking

Summary: Candidates should possess platform engineering experience building internal tools or infrastructure, full-stack technical depth in React/TypeScript and Node.js, and experience with infrastructure operations like CI/CD and incident response. Leadership experience, systems thinking, and strong communication skills are also necessary.

Skills: platform engineering, internal tools, developer platforms, infrastructure, react, typescript, node.js, ci/cd pipelines, monitoring, alerting, incident response, design system, authorization, audit logging, configuration management, systems thinking

Summary: Candidates must possess strong technical expertise in React and React Native, coupled with experience scaling a design system used by multiple teams, demonstrating a strong systems mindset. Essential qualifications include proven ability in people management, program execution, and advocating for UX excellence through close collaboration with Design, while also having a clear vision for AI's role in future design systems.

Skills: people leadership, design systems, react, react native, systems thinking, technical direction, component architecture, accessibility, ai integration, program management, ux excellence, api design, documentation, theming, cross-functional partnership, product velocity

Summary: Candidates must possess at least four years of experience with DoD or IC remote sensing constellations, proficiency in Agile methodology, software engineering, and project management principles, along with experience leading technical teams. A mandatory active TS/SCI clearance and a Bachelor's degree in a STEM field are required.

Skills: remote sensing, software engineering, team leadership, agile methodology, project management, customer focus, technical specifications, r&d project delivery, full-stack development, python, ui/ux, api, database technologies, schedule management, agentic ai, ts/sci clearance

Summary: Candidates must have 6+ years of customer-facing experience in data science, pre-sales engineering, or technical consulting within the software/SaaS sector, along with a Bachelor's degree in a technical, analytical, or business-related field. Essential abilities include translating GenAI/ML platform capabilities, demonstrating success in supporting sales pursuits with technical expertise, and possessing excellent communication and demo skills.

Skills: applied ai, sales engineering, technical leadership, technical discovery, solution architecture, proof-of-value engagements, generative ai, predictive ai, ai governance, model deployment, llms, agentic apps, business-to-technical translation, demo execution, security mandates, responsible ai

Summary: Candidates must possess over 12 years of software engineering experience, including 7+ years in engineering leadership managing multiple teams, with specific experience building intelligent or agentic systems like agent platforms or tool-use frameworks. A strong track record of shipping polished, customer-facing end-user experiences and excellent people leadership skills are essential.

Skills: product engineering leadership, agentic platform development, developer experience, apis, sdks, tooling, video ingestion, agent orchestration, observability, latency management, cost optimization, people leadership, technical architecture, system design, ci/cd practices, cross-functional collaboration

Summary: Candidates must possess strong expertise in frontier AI concepts such as LLMs, training data pipelines, and post-training techniques like RLHF, DPO, or RLAIF, with experience in customer-facing or collaborative research roles. A Bachelor's degree in Computer Science or a related field with 4+ years of experience in AI/ML solutions engineering or technical customer-facing roles is required.

Skills: frontier ai, llms, training data pipelines, rlhf, dpo, rlaif, coding agents, reasoning, multimodal models, rl environments, applied ml research, data science, python, ml frameworks, llm apis, data curation workflows

Summary: Candidates need at least two years of experience in software engineering or technical research, preferably holding a Bachelor's degree in a related field. Strong proficiency in major programming languages like Python or Java, along with experience in testing production-level code, is essential.

Skills: code validation, prompt refinement, algorithm evaluation, model benchmarking, python, javascript, java, c++, debugging, testing, analytical thinking, technical feedback

Summary: Candidates must possess a strong engineering background from leading technology companies and proven experience building production-scale data pipelines handling large streaming and batch datasets. Essential requirements include hands-on experience with multimodal industrial data sources and strong ownership of production infrastructure, DevOps practices, and security engineering.

Skills: data pipeline architecture, edge ingestion, etl, data processing frameworks, orchestration, schema management, data quality controls, streaming infrastructure, devops, ci/cd, infrastructure-as-code, container orchestration, security architecture, observability, time-series data, industrial data

Summary: Candidates must possess over 10 years of software development experience, including 3+ years in management, with expertise in C#, .NET Core, Java, and REST API development, alongside cloud experience in Azure or AWS. Essential requirements include strong leadership, technical acumen, experience with TDD/Domain Driven Architecture, and the ability to embrace and evolve AI-enabled development practices.

Skills: c#, .net core, java, rest api, azure, aws, microservices, tdd, domain driven architecture, solid, dry, agile, safe, team leadership, api development, ai-enhanced development tools

Summary: The ideal candidate is a strategic, customer-centric leader with a strong background in product ownership and end-to-end lifecycle management within a complex engineering environment. Essential qualities include proven ability to balance priorities, manage diverse stakeholders, translate strategy into action, exceptional communication, commercial awareness, and strong analytical skills.

Skills: product vision, strategy, roadmap, product management, lifecycle management, stakeholder management, data analysis, market intelligence, commercial acumen, leadership, communication, engineering collaboration, design collaboration, marketing collaboration, commercial collaboration

Summary: The ideal candidate is a strategic, customer-centric leader with a strong background in product ownership and end-to-end lifecycle management within a complex engineering environment. Essential qualities include the ability to balance priorities, manage diverse stakeholders, translate strategy into action, and possess strong commercial awareness and analytical skills.

Skills: product vision, strategy, roadmap, product management, lifecycle management, stakeholder management, data analysis, market intelligence, leadership, commercial awareness, communication, engineering collaboration, design collaboration, marketing collaboration

Summary: The ideal candidate is a strategic, customer-centric leader with a strong background in product ownership and end-to-end lifecycle management within a complex engineering environment. Essential qualities include the ability to balance priorities, manage diverse stakeholders, translate strategy into action, and possess strong commercial awareness and analytical skills.

Skills: product vision, strategy, roadmap, product management, lifecycle management, stakeholder management, data analysis, market intelligence, commercial awareness, leadership, communication, product direction, concept development, launch optimization

Summary: The ideal candidate is a strategic, customer-centric leader with a strong background in product ownership and end-to-end lifecycle management within a complex engineering environment. They must possess proven abilities in balancing priorities, managing diverse stakeholders, translating strategy into action, and demonstrating strong commercial awareness and analytical skills.

Skills: product vision, strategy, roadmap, product management, lifecycle management, stakeholder management, data analysis, market intelligence, commercial awareness, leadership, communication, engineering collaboration, design collaboration, marketing collaboration, commercial collaboration

Summary: The ideal candidate is a strategic, customer-centric leader with a strong background in product ownership and end-to-end lifecycle management within a complex engineering environment. Essential qualities include the ability to balance priorities, manage diverse stakeholders, translate strategy into action, and possess strong commercial awareness and analytical skills.

Skills: product vision, strategy, roadmap, product management, lifecycle management, stakeholder management, data analysis, market intelligence, commercial awareness, leadership, communication, product direction, concept development, launch optimization

Summary: Candidates must possess over 15 years in relevant engineering fields, including at least 5 years in senior/principal leadership roles and 3 years leading teams, with significant experience in client-facing environments. Essential technical expertise includes deep proficiency in agentic AI frameworks like LangChain, hands-on building of autonomous agent capabilities, and strong skills in Python, Spark, RAG pipelines, and LLMOps practices.

Skills: agentic ai, platform architecture, distributed systems, llmops, mlops, aiops, python, spark, langchain, rag, graphdb, vector databases, data ingestion, system scalability, ai governance, team leadership

Summary: Candidates must be 2nd, 3rd, or 4th-year undergraduates in Computer Science, Engineering, or a related field, possessing previous co-op or internship experience. Required technical skills include proficiency in languages like Python, Java, or C++, along with a basic understanding of data structures and algorithms.

Skills: python, java, c++, data structures, algorithms, software design principles, problem-solving, attention to detail, communication, collaboration, artificial intelligence, machine learning

Summary: Candidates must possess a Bachelor's degree or equivalent experience, including 6+ years building Python applications and 2+ years managing high-performing teams. Required experience also includes building systems with a generative AI component and deploying applications using AWS.

Skills: technical leadership, ai architecture, team management, software systems, generative ai, aws deployment, python, problem solving, communication, code quality, mentorship, vector search, embedding models, recommender systems, llm orchestration, rag systems

Summary: Candidates must have significant experience as a Senior HR Business Partner or Senior People Partner, ideally within fintech or technology, with demonstrated experience partnering with Product, Engineering, or Technical teams. Essential requirements include strong commercial acumen, deep understanding of employment law, proven capability in managing complex employee relations, and strong coaching and influencing skills.

Skills: strategic advisor, people strategy, organisational design, talent strategy, workforce planning, talent acquisition, performance management, leadership coaching, employee relations, risk management, diversity equity & inclusion, people analytics, change management, commercial acumen, employment law, stakeholder influence

Summary: Candidates must bring 5-7+ years of experience, preferably in Python/Django, along with strong expertise in SQL and modern JavaScript frameworks like Vue or React. Essential requirements include experience with complex system architectures, strong communication skills, and an entrepreneurial mindset for independent problem-solving in a remote setting.

Skills: python, django, javascript, vue, react, postgresql, sql, apis, data pipelines, system architectures, ai/ml, communication, collaboration, testable code, frontend web technologies, full-stack applications

Summary: Candidates must possess a minimum of 5-7 years as a Program Manager with exposure to Product Management or Product Ownership, ideally within the cable, telecom, or broadband industry. Essential requirements include strong experience defining product requirements, managing complex cross-functional product initiatives, and exceptional PowerPoint and executive communication skills, along with experience in Agile environments.

Skills: program management, product implementation, cross-functional execution, operational readiness, executive communication, cable/telecom environments, product strategy, product lifecycle, risk identification, mitigation planning, agile, jira, powerpoint, product requirements definition, program planning, executive presentations

Summary: Candidates must possess 15+ years in Manufacturing Engineering and Automation, including at least 5 years in a Director-level leadership role, with proven success scaling automated manufacturing systems from concept to high-volume production. Deep expertise in factory automation, process engineering, and experience with precision industries like medical devices or semiconductors is required, alongside a relevant Engineering degree.

Skills: strategic leadership, automation roadmap, cross-functional program leadership, capital planning, technology roadmapping, process development, system integration, data-driven manufacturing, team building, vendor management, oee optimization, yield improvement, risk mitigation, stakeholder management, precision assembly, industry 4.0

Summary: Candidates must have over 3 years of experience hiring and leading engineering teams, with expertise in recruiting talent to build outcome-driven solutions, ideally with experience leading teams building large-scale Search, Ranking, or generative AI products. Proficiency in modern programming languages and cloud infrastructure experience is expected, though Healthcare or Revenue Cycle Management experience is preferred but not mandatory.

Skills: hiring, leading teams, recruiting, ai/ml product delivery, organizational structure definition, mentorship, retention strategies, cross-functional collaboration, strategic goal definition, roadmap establishment, 0->1 product innovation, agile methodologies, devops practices, automated testing, python, java

Summary: Candidates must have 6+ years of professional software engineering experience, including at least 2 years in a technical leadership or management role, with proven success shipping reliable user-facing products. Essential qualities include the ability to balance hands-on engineering with people management, strong product instincts, and solid engineering fundamentals.

Skills: software engineering, technical leadership, platform ownership, architecture definition, scalability, security, maintainability, quality assurance, system reliability, project delivery, hiring, mentoring, engineering culture, product instincts, system architecture, strategic thinking

Summary: Candidates need over five years in Pre-Sales/Solutions Engineering, including at least two years in leadership, with proven success navigating complex Fortune 500 sales cycles. A deep understanding of the SDLC, DORA metrics, and modern stack technologies like APIs, SQL, and Git is required, alongside exceptional executive presentation and conflict resolution skills.

Skills: team development, coaching, pre-sales, technical strategy, enterprise sales cycles, proof-of-concepts, pilots, process optimization, sdlc, dora metrics, space framework, apis, sql, git workflows, executive presence, conflict resolution

Summary: Candidates must have an engineering background in a technical field and demonstrated success leading teams that built and sustained software solutions for U.S. government or intelligence customers. Deep understanding of modern software architecture, experience with cloud/air-gapped environments, and familiarity with federal security compliance standards are essential.

Skills: technical vision, team leadership, mentorship, federal customer partnership, technical ownership, engineering execution, resilient network architecture, privacy-first ethos, security protocols, modern software architecture, distributed systems, cloud environments, air-gapped environments, federal security compliance, technical strategy, cryptographic systems

Summary: The ideal candidate must have experience leading a multi-team engineering organization, fostering empowered teams, and owning data infrastructure reliability, cost, and stakeholder expectations in a product company. They should excel at balancing innovation with operational excellence and have experience building organizational capabilities from scratch.

Skills: technical leadership, data engineering, intelligence engineering, platform roadmap, architectural decisions, organizational structure, delivery standards, operational excellence, sla management, data quality, incident response, stakeholder management, team development, hiring, retention, data infrastructure

Summary: Candidates must possess over 10 years in engineering roles, including at least 4 years leading multiple teams or organizations, with proven experience shaping tech strategy in high-growth settings. A strong track record of growing a large engineering organization (30+ people) with operational rigor and the ability to build impressive, user-centric products in fast-paced environments is essential.

Skills: engineering leadership, technical strategy, product direction, roadmap execution, process establishment, talent recruitment, mentoring, execution ownership, quality assurance, system design, architecture, innovation, cross-functional leadership, operational rigor, technical excellence, incident management

Summary: The ideal candidate must be an experienced leader with a background in enterprise applications and software engineering, possessing strong communication skills and understanding of enterprise systems architecture. Required experience includes 10+ years in enterprise applications, with at least 5 in leadership, and demonstrated capability in organizational planning and vendor management.

Skills: enterprise applications, software engineering, systems architecture, communication, process improvement, technical delivery, erp (netsuite), hris (workday/adp), zendesk, crm, middleware (boomi), data pipelines, capacity planning, budgetary responsibilities, vendor management, governance

Summary: Candidates must have a Bachelor's degree or equivalent experience, with over 10 years in cloud infrastructure and platform engineering, including 3+ years leading large platform or SRE teams. Required technical expertise includes private/hybrid cloud technologies like GKE, OpenShift, OpenStack, VMware, IaC tools like Terraform, and strong strategic and communication skills.

Skills: private cloud platform engineering, cloud infrastructure, orchestration platform, containerized workloads, vm workloads, hybrid environments, developer experience, ci/cd, gke, anthos, openshift, openstack, vmware, terraform, ansible, kubernetes

Summary: Candidates must have over five years of software engineering experience, including at least two years managing teams focused on internal tooling or platform engineering, with strong technical knowledge in TypeScript/Node.js and monorepos. A strategic mindset, familiarity with Docker and GitHub Actions, and a strong focus on developer empathy are essential.

Skills: strategic leadership, roadmap definition, developer experience, internal tooling, platform engineering, ai strategy, typescript, node.js, monorepo architectures, docker, github actions, ci/cd, turborepo, library governance, workflow orchestration

Summary: Candidates must demonstrate success building engineering teams at high-growth startups and have a track record of improving team output, such as increasing shipping cadence and accelerating hiring velocity. A strong full-stack engineering background is required to serve as the architectural tie-breaker when necessary.

Skills: team building, engineering excellence, hiring, technical direction, unblocking, architectural decisions, full-stack engineering, shipping cadence, incident management, hiring velocity, react, typescript, go, data engineering, saas, b2b software

Summary: Candidates must have a Bachelor's degree or equivalent experience, with over 10 years in cloud infrastructure and platform engineering, including 7+ years with specific technologies like GKE, Anthos, OpenShift, and VMware. A minimum of 3 years leading large platform or SRE teams and 4+ years in strategic communication and problem-solving are also required.

Skills: private cloud platform engineering, cloud infrastructure, orchestration platform, containerized workloads, vm workloads, hybrid environments, developer experience, ci/cd, gke, anthos, openshift, openstack, vmware, terraform, ansible, kubernetes

Summary: Candidates must have a Bachelor's degree in Computer Science or equivalent experience, strong professional experience with complex projects, and proficiency in technologies like Node.js, React, and MongoDB. Essential qualifications include people management experience for teams of 4+ engineers, experience running highly available services, and technical expertise in cloud platforms and scalable system architecture.

Skills: software engineering, technical architecture, machine learning systems, content generation, model serving, performance, latency, node.js, react, mongodb, devops, cloud platforms, aws, azure, gcp, distributed system architecture

Summary: Candidates must possess over 15 years of experience in enterprise transformation, AI/ML strategy, or digital operations, with a proven ability to scale new businesses combining technical AI fluency with commercial leadership. A strong track record of leading large-scale transformation programs for Global 2000 enterprises and experience operating globally are essential.

Skills: ai strategy, go-to-market design, team leadership, enterprise transformation, ai/ml strategy, digital operations, commercial leadership, operational leadership, process re-engineering, ai governance, orchestration architectures, data-driven decision systems, p&l management, product roadmap shaping, sales collaboration, customer success

Summary: Candidates must have over two years leading infrastructure or platform engineering teams and over six years of hands-on experience, demonstrating the ability to grow both systems and people while managing real financial data stakes. Deep expertise in cloud infrastructure (GCP preferred), observability tools, CI/CD, and Infrastructure-as-Code (Terraform) is required, along with strong architectural taste and the ability to thrive in ambiguity.

Skills: infrastructure modernization, platform engineering, developer experience (devx), ai enablement, scalability, ci/cd pipelines, self-service tooling, cloud infrastructure, gcp, aws, azure, observability, datadog, sentry, infrastructure-as-code, terraform

Summary: Candidates must have at least 3 years of experience as a Delivery Manager or similar, coordinating web projects, ideally involving .NET and Azure, along with direct client-facing experience. A solid technical background in .NET, strong knowledge of architectures and best practices, Cloud/DevOps knowledge, and fluent English are crucial.

Skills: .net, azure, agile, devops, client interaction, project management, technical solution design, quality assurance, data analysis, process analysis, conflict resolution, risk identification, english fluency, teamwork

Summary: Candidates must have a Bachelor's degree in Engineering or a related field and over 5 years of experience in Sales Engineering, Business Systems Management, Product Operations Management, or Program Management. Essential requirements include experience driving organizational strategy via centralized reporting and building enablement strategies that measurably increase productivity.

Skills: program management, sales engineering, business systems management, product operations management, organizational strategy, process building, enablement strategies, business process automation, cross-functional initiatives, talent management, technical sales demonstrations, change management, jira, confluence, salesforce, lms

Summary: Minimum requirements include a Bachelor's degree in Engineering or a related field and over 7.5 years of experience in Consulting, Finance, Business Operations, or Sales Strategy & Operations. Candidates must have experience driving organizational strategy via centralized reporting and building processes that measurably increase productivity.

Skills: program management, sales engineering, iot, operational programs, financial planning, revenue forecasting, go-to-market motion, data analysis, customer trends, business case development, talent management, technical sales demonstrations, project schedules, process automation, pre-sales, new product release cycle

Summary: Candidates must possess ten or more years of relevant professional experience, including eight or more years leading technical teams in complex environments, preferably within healthcare. Required technical expertise includes deep knowledge of enterprise networking standards (OSI stack, TCP/IP, WAN, etc.) and proven ability to use data to drive continuous improvement.

Skills: enterprise networking, service reliability, strategic execution, cloud-based contact center platform, automation, advanced analytics, ai-enabled capabilities, service management, site reliability engineering, engineering lifecycles, cross-functional collaboration, data and metrics leverage, people leadership, coaching, talent development, communication

Summary: Candidates must possess ten or more years of relevant professional experience, including eight or more years leading technical teams in complex environments, preferably within healthcare. Required technical expertise includes deep knowledge of enterprise networking standards (OSI stack, TCP/IP, WAN, etc.) and strong proficiency in service management and site reliability engineering practices.

Skills: enterprise networking, service reliability, strategic execution, cloud-based contact center platform, automation, advanced analytics, ai-enabled capabilities, service management, site reliability engineering, engineering lifecycles, cross-functional collaboration, data and metrics, people leadership, coaching, talent development, communication

Summary: Candidates must have at least 7 years in software engineering and 1 year in engineering management, demonstrating the ability to balance long-term strategy with short-term planning. Required experience includes creating, delivering, and operating multi-tenanted, distributed systems at scale, with the flexibility to be hands-on when necessary.

Skills: engineering management, institutional custody, prime onchain wallet, crypto, blockchain technology, distributed systems, architectural decisions, system scaling, onchain operations, enterprise tooling, golang, ruby, docker, sinatra, rails, postgres

Summary: Candidates must have a minimum of 5+ years in building, scaling, and maintaining enterprise-level software systems with back-end expertise, alongside 4+ years managing high-performing engineering teams focused on delivery and measurable outcomes. Preferred qualifications include experience with distributed applications, service-oriented architectures, and large-scale data systems.

Skills: software systems building, software systems scaling, software systems maintenance, back-end development, high availability solutions, team leadership, coaching, career development, product roadmaps, technical roadmaps, cross-functional partnership, execution tracking, data monitoring, kpi establishment, okr achievement, distributed applications

Summary: Candidates must possess ten or more years of relevant professional experience, including eight or more years leading technical teams in complex environments, preferably within healthcare. A Bachelor's degree in a relevant field is required, along with deep expertise in enterprise networking standards and proven ability to leverage data for continuous improvement.

Skills: enterprise networking, service reliability, strategic execution, cloud-based contact center platform, automation, advanced analytics, ai-enabled capabilities, service management, site reliability engineering, engineering lifecycles, cross-functional collaboration, data and metrics, talent development, communication, relationship-building, emotional intelligence

Summary: Candidates must possess over 10 years of engineering leadership experience, including managing managers, and at least 5 years building or scaling cloud-native, infrastructure, or platform engineering products. Deep familiarity with Kubernetes, cloud-native ecosystems, SaaS control planes, and proven experience growing ecosystem-driven products are essential.

Skills: engineering leadership, cloud-native, infrastructure engineering, platform engineering, kubernetes, control planes, saas, distributed systems, apis, sdks, declarative systems, extensibility frameworks, ecosystem growth, production services, roadmap planning, organizational scaling

Summary: Candidates must possess proven leadership experience running SRE/Production Engineering and Platform functions for large-scale SaaS or cloud services, coupled with hands-on software development fluency. Deep SRE foundations, practical cloud expertise (Azure preferred), and strong systems thinking are essential for success in this strategic role.

Skills: sre, platform engineering, reliability engineering, slis/slos, incident management, change management, kubernetes, iac, capacity planning, cost optimization, disaster recovery, ci/cd, observability, azure, terraform, bicep

Summary: Candidates need 3+ years of engineering management experience along with 6+ years of relevant software development experience in a fast-paced tech environment. Required expertise includes experience with a public cloud provider's networking services and running large-scale networking systems like proxies or DNS.

Skills: engineering management, network infrastructure, cloud, software development, public cloud provider, aws, gcp, azure, large scale networking systems, proxies, cdn, dns, gateways, istio service mesh, k8s, cloud native technologies

Summary: Candidates must possess 12+ years of engineering experience, including 7+ years leading multi-team organizations, with proven success in modern product-centric environments. A deep understanding of engineering first principles, cloud-native architectures, and effective adoption of Generative AI tools within engineering workflows is required.

Skills: engineering vision, strategy execution, product operating model, high-performing teams, talent development, coaching, succession planning, delivery management, qa automation, architecture evolution, device engineering, fleet management, generative ai adoption, devops, ci/cd, cloud-native architectures

Summary: Candidates must have a minimum of 5+ years in building, scaling, and maintaining enterprise-level software systems, specializing in back-end development and high availability solutions. Additionally, 4+ years of experience managing high-performing engineering teams with a strong focus on delivery, execution, and achieving measurable business outcomes is required.

Skills: engineering management, software systems, back-end development, high availability, team leadership, coaching, career development, technical roadmaps, execution, product quality, data monitoring, kpis, okrs, distributed applications, service-oriented architectures, object oriented programming

Summary: Candidates must possess a minimum of 3–5 years in a leadership or management role combined with at least 8 years of software development experience, including owning the hiring process. Essential technical experience includes working with PostgreSQL, Redis, Linux, and Git, alongside proficiency in Go, Python, Javascript, and shell scripting.

Skills: go, python, javascript, shell scripts, postgresql, redis, linux, git, front end development, back end development, system administration, hiring, roadmap planning, architecture design, testing, documentation

Summary: Candidates must have a minimum of 3–5 years in a leadership or management role combined with at least 8 years of software development experience. Required experience includes owning the hiring process, acting as the primary liaison between engineering and non-technical management, running concise meetings, and coordinating interdisciplinary teams, along with familiarity with the technical stack.

Skills: leadership, management, software development, front end, back end, platform layer development, server maintenance, hiring, task load management, sprint priorities, roadmap planning, architecture, design, go, python, javascript

Summary: Candidates must possess a minimum of 10-15 years of experience in construction engineering/architecture/design, including at least 5 years in a leadership capacity, and hold a Bachelor's degree in a related field. Required expertise includes in-depth knowledge of building codes, construction methodologies, and proficiency in design software like Revu Bluebeam.

Skills: leadership, management, design strategy, project oversight, construction practices, design principles, project management, regulatory compliance, ai, automation, risk mitigation, technical expertise, client management, business development, quality control, problem solving

Summary: Candidates must possess a strong engineering foundation, demonstrated success leading organizations that built and operated high-concurrency distributed systems, and deep experience with cloud infrastructure and security/privacy technologies. A U.S. Top Secret clearance is a significant plus but not required.

Skills: technical vision, strategy, team leadership, mentoring, product partnership, operational excellence, cross-sector integration, autonomous leadership, pragmatic problem solving, adaptability, diplomacy, distributed systems, cloud providers, kubernetes, cryptography, identity management

Summary: Candidates must possess a minimum of 10 years of production-level experience as an engineer/technical lead building scalable software, along with over 5 years of managerial experience leading engineering teams. A strong technical background, experience in full-stack development, and a genuine passion for improving healthcare through technology are required.

Skills: technical leadership, hiring, nurturing talent, technical solutioning, roadmapping, goal setting, stakeholder collaboration, engineering excellence, performance management, delegation, communication, relationship building, full stack, strategic vision, problem-solving, agile

Summary: Candidates must possess over five years of experience in a Linux environment, proficient in at least one major language like Golang, Python, Java, or C/C++, and have experience with Kubernetes and microservices architecture. Familiarity with cloud providers and fundamental AI/ML concepts is also required.

Skills: golang, python, java, c/c++, linux, kubernetes, microservices architecture, distributed systems, api design, postgresql, cloud service provider, ai/ml concepts, openshift, saas operations

Summary: Candidates must have 8+ years of relevant software engineering experience, including 5+ years as a people manager, with proven success delivering production software in complex or regulated environments like FinTech. Strong technical proficiency in PHP or Python, GraphQL, SQL, and TypeScript is required, alongside experience leading large-scale content management and backend systems.

Skills: software engineering, platform systems, team leadership, roadmap planning, execution management, technical decision making, mentoring, code quality, testing, graphql, php, python, sql, typescript, security best practices, scalability

Summary: Candidates must have 8+ years of relevant software engineering experience, including 5+ years as a people manager, with proven success delivering production software in complex, fast-paced, or regulated environments like FinTech. Strong technical foundations are required, including proficiency in PHP or Python, GraphQL, SQL, and TypeScript, alongside experience managing large-scale content management systems and backend systems.

Skills: software engineering, platform systems, team leadership, roadmap shaping, technical quality, mentoring, technical decisions, scalability, reliability, security, compliance, code quality, testing, documentation, graphql, typescript

Summary: Candidates must have a Bachelor's degree or higher in Computer Science or a related field, along with 5+ years of experience building data-intensive applications and scaling sophisticated data pipelines to petabyte scale. Strong proficiency in modern data technologies like Spark and Airflow, along with programming languages such as Python, Java, or Scala, and extensive SQL experience is required.

Skills: data pipelines, data reliability, automation, data modeling, code quality, mentoring, spark, airflow, python, java, scala, sql, aws, azure, gcp, databricks

Summary: Candidates must have an MSc or higher in CS/EE/CE/Mathematics or equivalent experience, with a minimum of 2 years of relevant experience in areas like computer architecture or hardware-software interfaces. Essential technical skills include system-level programming (C++), deep curiosity about system internals, and a proven track record of shipping optimized, production-ready, and maintainable code.

Skills: hardware abstractions, low-latency execution, fault tolerance, real-time diagnostics, distributed compute frameworks, system internals, computer architecture, hardware-software interfaces, profiling, optimization, c++, system-level programming, automated testing, ci/cd, modular design, version control

Summary: Candidates must have a minimum of 12 years in software engineering, including 6+ years in leadership, with strong expertise in microservices, API-first design, event-driven architectures, and messaging systems like Pub/Sub or Kafka. Experience leading distributed engineering organizations and a strong balance of architectural depth and delivery accountability are essential.

Skills: software engineering, integration, technical leadership, platform engineering, service architecture, microservices, api-first design, event-driven systems, pub/sub, kafka, java, spring, web applications, delivery governance, performance engineering, cloud-native

Summary: Candidates must be able to implement high-performance kernels using low-level languages, with Assembly/ISA experience being a plus, and must be proficient in Python and/or C++. A solid background in Machine Learning model architecture like LLMs or CNNs, experience with ML frameworks such as PyTorch and Numpy, and a general understanding of computer architecture are required, along with current enrollment in a Master's or Ph.D. program.

Skills: high performance kernels, low-level languages, assembly, isa, python, c++, machine learning models, unit tests, performance tuning, scalability analysis, performance metrics, bottleneck identification, llms, cnns, pytorch, numpy

Summary: Candidates must have experience with and passion for agile development, the ability to mentor engineers, and full-stack engineering experience using technologies like Ruby on Rails, Python, Java, .NET (preferred), SQL, and React. A Bachelor’s Degree in Computer Science or equivalent experience is mentioned, alongside proven leadership skills and comfort navigating legacy codebases.

Skills: agile development process, mentoring, full stack engineering, ruby on rails, python, java, .net, sql, react, leadership, test driven development, knowledge sharing, collective code ownership, people management, hiring process, scrum

Summary: Candidates must possess 8+ years of software engineering experience and a Bachelor’s degree or higher in Computer Science or a related field, demonstrating a strong background with the LAMP/LEMP stack and Linux proficiency. Legal authorization to work in the U.S. without visa sponsorship is mandatory.

Skills: lamp/lemp stack, linux command line, javascript, oops, reactjs, jquery, bootstrap, restful apis, ajax, microservices architecture, sql, nosql, cassandra, mongodb, redis, rabbitmq

Summary: Candidates need a solid foundation in software engineering and machine learning/data engineering best practices, with experience in Python libraries, Spark, AWS, and modern databases. A deep understanding of privacy, data protection, and secure engineering within ML systems is also required.

Skills: software engineering, machine learning, data engineering, ml infrastructure, mlops, python, pandas, numpy, scikit-learn, tensorflow, xgboost, spark, aws, sql, nosql, distributed systems

Summary: Candidates must have senior-level experience delivering and maintaining cloud-native production software, with strong proficiency in Python (FastAPI, async patterns) and TypeScript/React. A practical delivery mindset focused on shipping and iterating, production maturity for resilience, and strong communication skills are essential, along with a willingness to work three days a week in the Espoo office.

Skills: python, fastapi, typescript, react, cloud native, production software, resilience, debuggability, supportability, communication, kubernetes, docker, terraform, event-driven architecture, distributed systems, geospatial

Summary: Candidates must have 3-5+ years of experience building production services, ideally with Data Engineering expertise, and possess strong coding proficiency in Python and/or Go. Essential knowledge includes understanding distributed data systems, data modeling for OLAP/OLTP, comfort with SQL and relational databases/data warehouses, and experience with cloud infrastructure like Docker and Kubernetes.

Skills: data systems, slos, data solutions, self-service tooling, data architecture, testing, pipeline reliability, documentation, distributed data systems, data modeling, sql, python, go, docker, kubernetes, terraform

Summary: Candidates must have senior-level experience (typically 7+ years) delivering cloud-native production software, demonstrating a flow mindset focused on finishing work and reducing context switching. Proficiency in Python (FastAPI/async) and TypeScript/React, along with experience architecting Docker-based workflows, is required.

Skills: python, fastapi, async, typescript, react, docker, ci/cd, cloud native, resilience, operability, event-driven architecture, kubernetes, terraform, gis, remote sensing, data-intensive applications

Summary: Candidates must possess 4+ years of experience in data analytics and machine learning, supported by a strong background in statistical analysis, linear algebra, and modeling. Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL is required, along with experience in cloud platforms like Azure ML and MLOps frameworks.

Skills: machine learning, data analysis, python, sql, statistical analysis, linear algebra, feature extraction, azure machine learning, scikit-learn, pandas, numpy, mlops, xai, spark, hadoop, agile

Summary: Candidates must have proven experience leading and growing engineering teams while remaining hands-on as a technical leader guiding delivery from design through implementation. Essential technical requirements include applying software engineering best practices and experience with Event-Driven Architectures and Domain-Driven Design principles.

Skills: system design, delivery, production monitoring, software engineers management, absence management, work schedule planning, technical excellence, architectural decisions, code quality, reliability, coaching, stakeholder management, domain vision, problem-solving, automated testing, ci/cd

Summary: Candidates must have over 5 years of experience managing software engineering teams with a strong focus on people development, alongside 7+ years of prior individual contributor software engineering experience. Required qualifications also include hands-on experience with modern cloud environments (Azure, AWS, or GCP) and the ability to obtain a Public Trust Clearance.

Skills: people leadership, performance management, coaching, mentoring, team building, hiring, onboarding, project planning, delivery oversight, devsecops, ci/cd, stakeholder collaboration, communication, cloud-native environments, agile practices

Summary: Candidates must have 8+ years of software development experience, including 4+ years leading multiple engineering teams or managing managers, with a proven track record of delivering complex, high-scale technology services. Essential qualifications include deep experience with distributed systems, cloud services (GCP preferred), modern SDLC practices, and strong capabilities in recruiting senior talent and managing complex data workflows.

Skills: engineering leadership, team scaling, recruiting, product roadmaps, genai, ml, cloud platform (gcp), high-availability systems, distributed systems, ci/cd, automated testing, agile development, talent retention, data workflows, legacy code modernization, communication

Summary: Candidates must have 5+ years of hands-on DevOps, platform, or cloud engineering experience, including at least 3 years in people management. Required technical expertise includes building CI/CD pipelines, proficiency with Infrastructure as Code (Terraform, CloudFormation, or Pulumi), containerization (Kubernetes/ECS/Fargate), and major cloud platforms (AWS, Azure, or GCP).

Skills: devops, platform engineering, ci/cd, infrastructure as code, kubernetes, aws, azure, gcp, slos/slis, incident response, policy as code, coaching, mentorship, automation, security as code, release controls

Summary: Candidates must have over five years of experience managing data science or analytics teams with a strong emphasis on people development, alongside a hands-on background in data science or machine learning. Required technical foundations include Python, SQL, relevant DS/ML frameworks, and experience with cloud environments (Azure, AWS, or GCP).

Skills: people leadership, data science, engineering management, ai, analytics, research, machine learning, python, sql, cloud environments, agile practices, data engineering, stakeholder collaboration, performance management, mentoring, responsible ai

Summary: Candidates must have a proven track record of leading multiple teams and possess a strong technical background with experience in full-stack development and AWS, enabling them to guide architectural decisions across varied tech stacks. Essential qualifications include the ability to delegate effectively, make pragmatic trade-offs balancing technical debt and business needs, and adapt processes while maintaining clear communication in a remote environment.

Skills: team leadership, context switching, delegation, architectural guidance, trade-off decisions, dependency management, process adaptation, design reviews, code reviews, hiring, coaching, roadmap shaping, java spring boot, python fastapi, react, mongodb

Summary: The ideal candidate is a 'Player Coach' who has likely founded a company or served as a lead architect at an early-stage startup, enjoying hands-on technical work alongside team leadership. They must possess strong systems thinking skills, especially regarding offline, asynchronous jobs, and be obsessed with debugging complex business logic and edge cases.

Skills: technical leadership, system design, asynchronous state management, fault tolerance, refactoring, architecture design, typescript, nest.js, react, graphql, aws, ecs, eks, lambda, ai-first approach, debugging

Summary: A minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent work/military experience are required. Candidates should also possess experience with Microsoft Office, be available for flexible scheduling including overtime, and ideally have a degree in Engineering and up to 30% travel ability.

Skills: project management, facilities engineering, scope development, design, drafting, contractor management, proposal evaluation, purchase requisitions, interpersonal skills, management skills, teamwork

Summary: Minimum requirements include a Bachelor's degree and 5+ years of technical leadership experience, or a high school diploma/GED with an additional 4+ years of technical leadership experience. Desired characteristics include aviation/aerospace background, proven customer relationship skills, exceptional communication abilities, and strong leadership capabilities.

Skills: people leadership, diagnostics engineering, analytics development, customer communication, talent acquisition, staff development, strategic planning, customer facing, project management, lean principles, kpi maintenance, problem solving, cross-functional collaboration, product improvement, decision making, influencing others

Summary: Candidates must possess a Bachelor’s degree in Engineering or a related field, along with a minimum of 5 years of engineering project management experience, including 3 years supporting Federal and DoD technical projects. Preferred qualifications include PMP or other project management certifications.

Skills: project management, client relationships, budget management, schedule management, quality control, profitability analysis, contractual requirements, staffing, subcontractor management, vendor management, work plan development, progress reporting, forecasting, risk management, proposal development, technical writing

Summary: Candidates must have proven experience leading multiple backend/platform or detection/defense teams in a SaaS or cybersecurity environment, coupled with significant product ownership capabilities. A highly technical background is required, emphasizing expertise in scalable backend architecture, distributed systems, data pipelines, and cloud infrastructure, alongside familiarity with modern detection and response concepts.

Skills: backend engineering, platform engineering, distributed systems, saas, cybersecurity, cloud architecture, data modeling, etl systems, detection engineering, offense-informed defense, edr integration, siem integration, python, go, terraform, kubernetes

Summary: Candidates must have over 3 years of front-line Solution Engineering leadership experience in a fast-paced setting, along with extensive experience in complex Solution Engineering organizations. A proven track record in building teams, hiring/retaining talent, and strategizing on large, complex sales is required, alongside technical understanding of architecture, integration, and automation.

Skills: solution engineering leadership, talent coaching, go-to-market strategy, operational cadences, strategic deals, innovation, pre-sales team management, hiring, training, retention, value selling, architecture, integration, automation technology, customer facing engagements, cross-functional collaboration

Summary: Minimum requirements include a Bachelor's degree and 5+ years of technical leadership experience, or a high school diploma/GED with an additional 4+ years of technical leadership experience. Desired characteristics include an aviation/aerospace background, proven customer relationship skills, exceptional communication abilities, and strong leadership capabilities.

Skills: people leadership, hiring, staff development, strategic planning, customer facing communication, project management, lean principles, kpi maintenance, problem solving, cross-functional collaboration, product improvement, decision making, influencing others, talent development, coaching, mentoring

Summary: Candidates must possess at least 3 years of front-line Solution Engineering leadership experience in a fast-paced setting, along with extensive experience in complex Solution Engineering organizations and a proven track record in building teams and hiring top talent. A degree or equivalent relevant experience is required, alongside the ability to provide technical guidance, coaching, and mentorship.

Skills: solution engineering leadership, talent development, go-to-market strategy, operational cadences, strategic deals, innovation, pre-sales team management, hiring, training, retention, value selling, architecture, integration, automation technology, customer facing engagements, cross-functional collaboration

Summary: Candidates must have over 10 years in IT operations, security engineering, SRE, or technical risk roles, including 5+ years managing technical practitioners in a large enterprise. A solid understanding of how risk manifests in technology, especially cloud and distributed systems, is required, along with proven ability to influence across organizational boundaries.

Skills: people leadership, technical direction, delivery outcomes, risk engineering, architectural direction, automation, cloud, distributed systems, identity, recovery architectures, technical solutions as code, sre, technical risk

Summary: Candidates must have proven experience managing and mentoring engineers, balancing people focus with structured, data-driven delivery expertise using Agile processes. Strong technical background in software engineering, system design, and the ability to guide pragmatic, scalable architectural solutions is required.

Skills: team leadership, delivery management, technical strategy, collaboration, agile methodologies, mentoring, hiring, retention, career growth, code reviews, system design, architectural decisions, stakeholder management, python, react, typescript

Summary: Candidates need over 10 years in IT operations, security engineering, SRE, or technical risk roles, with at least 5 years managing engineers in a large enterprise setting. A solid understanding of how risk manifests in technology, especially cloud and distributed systems, is required, alongside proven success delivering large-scale technical solutions as code.

Skills: people leadership, technical direction, risk engineering, architectural direction, automation, cloud, distributed systems, identity, recovery architectures, technical solutions as code, sre, it operations, security engineering

Summary: Candidates must have a minimum of 3–5 years in a leadership role combined with at least 8 years in software development for high-scale, consumer-facing systems, ideally leading teams of 10 or more engineers. Essential qualities include empathy, strong program management skills, demonstrated problem-solving abilities, and excellent communication for technical and non-technical stakeholders.

Skills: goal setting, mentorship, coaching, leadership, performance management, roadmap building, requirements definition, documentation, hiring initiatives, process enhancement, system architecture, kpi establishment, sla monitoring, scalability, reliability, problem solving

Summary: Candidates must have a minimum of 3–5 years in a leadership role combined with at least 8 years in software development for high-scale, consumer-facing systems, ideally leading teams of 10 or more engineers. Essential qualities include empathy, strong delivery management skills, excellent communication, a platform mindset, and a passion for sports and fan culture.

Skills: goal setting, mentorship, coaching, leadership, performance management, roadmap building, requirements definition, documentation, hiring initiatives, process enhancement, system architecture, kpi establishment, sla monitoring, scalability, reliability, problem solving

Summary: Candidates must possess a Bachelor's degree and have a minimum of 5 years in hands-on engineering, pre-sales, or support, along with over 3 years of sales engineering management experience, preferably in Software Product sales like Infrastructure or SaaS. Strong technical and business acumen, excellent communication skills, and the ability to travel up to 50% are also required.

Skills: sales engineering management, field sales engineering, enterprise sales, iot, saas, cloud technologies, physical security, networking, security, technical acumen, business acumen, leadership, customer relationship building, problem solving, presentation skills, organizational skills

Summary: Candidates must possess over 5 years of experience in cloud infrastructure engineering, including at least 2 years in a leadership capacity, with strong expertise in GCP services and hands-on experience with Terraform. Essential requirements also include proven success in designing scalable cloud systems and strong leadership and communication abilities.

Skills: gcp, networking, compute, terraform, iac, load balancers, iam, scalability, security, observability, automation, team building, base image management, multi-cloud, saas, ccaas

Summary: Candidates must have a minimum of 8 years of progressive leadership experience in digital product or technology operations, with a Bachelor’s degree in a related field, and strong technical expertise in modern web/mobile application development and healthcare compliance. Preferred qualifications include a Master’s degree and 8-12 years in software engineering with 3–5 years in leadership, specifically demonstrating a track record of delivering inpatient digital solutions.

Skills: cross-functional team leadership, agile methodologies, service delivery oversight, financial acumen, vendor management, stakeholder engagement, web applications, mobile applications, responsive design, accessibility, ehr integration, cloud platforms, hipaa compliance, secure coding, automated testing, observability tools

Summary: Candidates must possess a minimum of 8-10 years of experience managing quality systems for regulated industries like pharmaceuticals or medical devices, coupled with a required ISO 13485:2016 Lead Auditor Certification. A Bachelor's degree in Engineering or Life Sciences is required, with proficiency in QMS software and strong knowledge of FDA regulations and ISO standards being essential.

Skills: qms leadership, iso 13485:2016, fda 21 cfr parts 820, gmp, lead auditor, document control, arena qms, supplier quality management, iso 14971, capa management, non-conformances, scars, risk management, audit preparedness, eu mdr, process validation

Summary: Candidates must have a minimum of 10 years of progressive leadership experience in areas like digital health, product development, or UX design, with a Bachelor's degree required. Preferred qualifications include 10+ years in software engineering with 5+ years leading search/recommendation systems, and deep technical skills in search algorithms, recommendation engines, and relevant programming languages.

Skills: search algorithms, recommendation algorithms, elasticsearch, solr, query optimization, personalization techniques, machine learning, python, java, scala, tensorflow, pytorch, scikit-learn, cloud platforms, docker, kubernetes

Summary: Candidates must possess a minimum of 10 years of progressive leadership experience in areas like digital health or product development, including 10+ years in software engineering with at least 5+ years in AI/ML leadership roles. A Bachelor’s degree in a related field is required, with an advanced degree preferred, alongside deep technical expertise in ML algorithms, deep learning, NLP, and cloud AI services.

Skills: artificial intelligence, machine learning, ai strategy, model building, ethical ai, agile methodologies, user-centricity, design systems, cybersecurity governance, team leadership, python, tensorflow, pytorch, cloud ai services, generative ai, model interpretability

Summary: Candidates must have a minimum of 8 years of progressive leadership experience in digital product or technology operations, with specific technical expertise in building secure, scalable web and mobile applications, and familiarity with healthcare interoperability standards like HL7 and FHIR. A Bachelor’s degree in a related field is required, and the role involves leading a team of approximately 20+ engineers.

Skills: cross-functional team leadership, agile methodologies, service delivery oversight, financial acumen, vendor management, stakeholder engagement, web applications, mobile applications, responsive design, accessibility, ehr integration, cloud platforms, hipaa compliance, secure coding, automated testing, observability tools

Summary: Candidates must have a minimum of 8 years of progressive leadership experience in digital product or technology operations, with specific expertise in identity systems architecture, including protocols like OAuth 2.0 and OpenID Connect. A Bachelor’s degree is required, and the role demands deep understanding of consent frameworks for regulated industries like healthcare (HIPAA compliance).

Skills: identity systems architecture, authentication, authorization, single sign-on (sso), oauth 2.0, openid connect, saml, jwt, identity providers (idps), user profile schemas, consent frameworks, consent management platforms (cmps), hipaa, gdpr, ccpa, restful apis

Summary: Candidates must have a minimum of 8 years of progressive leadership experience in digital product or technology operations, with specific expertise in identity systems architecture, including protocols like OAuth 2.0 and OpenID Connect. A Bachelor’s degree is required, and the ideal candidate will have 8–12 years in software engineering, including 3–5 years leading identity and consent management roles.

Skills: identity systems architecture, authentication, authorization, single sign-on (sso), oauth 2.0, openid connect, saml, jwt, identity providers (idps), user profile schemas, consent frameworks, consent management platforms (cmps), hipaa, gdpr, ccpa, restful apis

Summary: Candidates must demonstrate outstanding cross-team communication, product vision, and a habit of outcome-driven planning with measurable metrics. Deep technical leadership is required, including hands-on knowledge of cloud-native architecture, distributed systems, and experience owning architectural direction while balancing trade-offs.

Skills: cross-team communication, stakeholder mapping, product vision, outcome-driven planning, goal setting, roadmap development, change management, technical leadership, cloud-native architecture, distributed systems, performance tuning, code review, infrastructure as code, real-time communication systems, developer experience, people leadership

Summary: Candidates must have a minimum of 10 years of progressive leadership experience in areas like digital health, product development, or UX design, along with a Bachelor’s degree in a related field. Preferred qualifications include 10+ years in software engineering with 5+ years leading search/recommendation systems, and deep technical skills in search algorithms, recommendation engines, and relevant programming languages.

Skills: search algorithms, recommendation algorithms, elasticsearch, solr, query optimization, personalization techniques, machine learning, python, java, scala, tensorflow, pytorch, scikit-learn, cloud platforms, docker, kubernetes

Summary: Candidates must have a minimum of 10 years of progressive leadership experience in digital health, product development, or related fields, including at least 5+ years in AI/ML leadership roles with a proven track record of delivering AI-driven products at scale. A Bachelor’s degree in a related field is required, with an advanced degree preferred.

Skills: artificial intelligence, machine learning, ai strategy, scalable ai models, ethical ai, agile methodologies, user-centricity, design systems, information security, team leadership, python, tensorflow, pytorch, scikit-learn, generative ai, llms

Summary: Candidates must possess over fifteen years of experience, including at least five years in customer management leadership, with deep expertise in leading complex electro-mechanical product architectures, ideally in power systems. A Bachelor's degree in a STEM field is required, along with strong business acumen and influential leadership skills.

Skills: power systems, engineering leadership, solution architecture, commercial acumen, strategic planning, customer engagement, product development, test & validation, negotiation, problem solving, r&d services, lean manufacturing, supply chain management, financial planning, stakeholder management, mentoring

Summary: Candidates must demonstrate leadership experience in IT Support, Digital Workplace, or Endpoint Engineering, with a proven ability to lead global or distributed technical teams. Deep hands-on knowledge of endpoint management tools like Intune, Autopilot, and JAMF, alongside strong operational understanding of Windows, macOS, and mobile ecosystems, is required.

Skills: people leadership, support services strategy, helpdesk operations, endpoint security, device management, incident management, patch management, vendor management, knowledge management, support automation, intune, autopilot, jamf, edr, soc 2 compliance, iso 27001 compliance

Summary: Candidates must have several years of professional software engineering experience, including over two years in a tech lead or leadership capacity, actively contributing to production code. Essential qualifications include hands-on experience shipping AI-enabled features, strong product intuition, ownership of the full development lifecycle, and comfort operating in ambiguity.

Skills: software engineering, tech lead, ai product development, production code, team leadership, product iteration, llm-based systems, product intuition, full development lifecycle, technical decision making, scalability, maintainability, mentoring, code reviews, design discussions, pragmatic technical decisions

Summary: Candidates must have 7+ years of software engineering experience, including 3 to 5+ years in engineering management, specifically within capital-conscious, high-growth settings. Success requires proven ownership of revenue-tied products, hands-on experience with cost-constrained AI systems, and strong product/financial intuition to make ROI-grounded tradeoffs.

Skills: software engineering management, ai product development, arr growth, capital efficiency, product delivery, cost management, scalability, ai infrastructure, architectural decisions, engineering roi, cycle times, financial awareness, design reviews, build vs. buy tradeoffs, inference, training

Summary: Candidates must be strong conceptual thinkers capable of structuring complex business challenges into data problems, with a passion for LLMs and real-world AI applications. Required experience includes a PhD with 3+ years of industry experience or a Bachelor's/Master's with 7+ years, plus at least 1 year of team management and hands-on experience building AI applications.

Skills: large language models, data science, team leadership, ontology transformation, actionable insights, agentic applications, project management, model development, production-ready systems, system architecture, prompt engineering, advanced analytics, unstructured data transformation, mentoring

Summary: Candidates must possess strong Python engineering experience building data extraction and transformation workflows, including experience calling LLM APIs and crafting effective prompts for structured data extraction. A solid understanding of ELT patterns, experience with AWS S3 and PostgreSQL, and a strong data validation mindset are also required.

Skills: python, data extraction, transformation, llm api calls, prompt crafting, elt patterns, data pipeline architecture, aws s3, postgresql, json schemas, data validation, monitoring, alerting, data schemas, document processing, ai orchestration

Summary: Candidates must be a 2025 or 2026 graduate with a B.S., M.S., or Ph.D. in a technical field, showing interest in scalability challenges and infrastructure technologies. Availability for coordination hours (Mon-Fri: 9am-3pm Pacific Time) is required, along with a passion for continuous learning.

Skills: python, sql, kafka, iceberg, trino, spark, airflow, data lake, query engines, a/b testing infrastructure, dashboards, visualization tools, scalability, infrastructure

Summary: Candidates must possess extensive backend engineering experience, comfortable with Python/FastAPI, high-throughput real-time systems, and deployment on Google Cloud Platform (GCP). Strong communication, process orientation, detail orientation, and a QA mindset are essential for managing complex, unforgiving real-time bidding environments.

Skills: backend engineering, python, fastapi, real-time systems, google cloud platform, communication, process orientation, multitasking, detail orientation, qa mindset, api integration, data pipeline monitoring, technical partnership, high-throughput systems

Summary: Candidates must possess over 7 years of HRBP experience, including at least 3 years supporting Engineering or Product organizations, and a proven track record advising executive leadership on significant projects with minimal supervision. Essential abilities include interpreting people metrics to drive actionable insights, building trust with technical stakeholders, and using coaching frameworks to foster independent problem-solving.

Skills: hr business partner, strategic advisor, performance management, strategic hiring, career development, project leadership, talent density, executive coaching, stakeholder management, trust building, data interpretation, root cause analysis, risk evaluation, adp mastery, charthop mastery, google suite mastery

Summary: Candidates need over 7 years in software engineering, emphasizing API development and distributed systems, along with more than 3 years managing engineering teams in an agile setting. Technical proficiency in streaming technologies, event-driven systems, and experience with observability patterns in microservices are essential.

Skills: api development, distributed systems, team management, agile environment, message brokers, streaming, asynchronous job processing, event driven systems, event stream processing, websockets, real-time applications, personalization engines, distributed tracing, microservices, observability, api design

Summary: Candidates must have 4+ years of experience designing, developing, and launching scalable backend systems using languages like Python or Kotlin, alongside a track record in developing highly available distributed systems with technologies such as AWS, MySQL, and Kubernetes. Fluency in backend development, batch processing technologies, and the ability to define technical plans with elegant designs are also required.

Skills: backend development, distributed systems, python, kotlin, aws, mysql, kubernetes, batch processing, airflow, spark, data lake, snowflake, technical planning, code review, design standards, on-call support

Summary: Candidates must have experience in AI/Machine Learning Engineering roles with solid software engineering skills, specifically requiring Python and hands-on experience deploying ML models to production. A strong understanding of MLOps, experience with cloud platforms (Azure preferred), and knowledge of containerization technologies like Docker and Kubernetes are essential.

Skills: ai engineering, machine learning engineering, software engineering, python, ml model deployment, mlops, cloud platforms, azure, docker, kubernetes, ai systems design, llms, genai, communication skills, consulting mindset

Summary: Candidates must have experience in AI/Machine Learning Engineering roles, solid software engineering skills (Python required), and hands-on experience deploying ML models into production environments. A strong understanding of MLOps, experience with cloud platforms (Azure preferred), and knowledge of containerization technologies like Docker and Kubernetes are essential.

Skills: ai engineering, python, mlops, cloud platforms, azure, docker, kubernetes, software engineering, ml model deployment, ai pipelines, ai governance, llms, genai, communication skills, consulting mindset

Summary: Candidates must possess over 7 years of relevant software development experience, including at least 2 years in engineering leadership, and hold a relevant Bachelor's or Master's degree. Essential technical knowledge includes comprehensive expertise in JavaScript/TypeScript and modern frontend frameworks like Vue.js or React, alongside strong understanding of modern engineering practices and RESTful APIs.

Skills: frontend engineering, leadership, mentoring, project execution, people growth, hiring, talent development, best practices, continuous improvement, javascript, typescript, vue.js, react, restful apis, ci/cd, accessibility

Summary: Candidates must have 8+ years of experience in Customer Experience Technology or AI tooling, demonstrating ownership of large-scale systems. Required technical proficiency includes Python, SQL, and REST APIs for building automations, alongside hands-on experience managing AI support workflows and tracking relevant KPIs.

Skills: ai tooling, python, sql, rest apis, prompt engineering, knowledge base management, kpi tracking, cross-functional collaboration, zendesk, intercom, salesforce service cloud, jira, machine learning, automation

Summary: Candidates must possess a Bachelor's degree in Computer Science or equivalent experience, coupled with over 5 years in desktop software development, requiring proficiency in modern C++ (C++14 or later) and experience developing Windows applications using Visual Studio. Strong debugging skills and experience navigating large, legacy codebases are essential.

Skills: c++, visual studio, windows applications, architecture, apis, databases, code reviews, debugging, problem-solving, ci/cd, com, opc, mqtt, xml, json, sqlite

Summary: Candidates must have a strong desire for continuous learning, collaboration, and improvement in software engineering, along with a friendly and pragmatic disposition. Required experience includes competency with the React framework and fundamental front-end development aspects like HTML, CSS/SASS, and Javascript.

Skills: react, next.js, typescript, jest, chromatic, html, css, sass, javascript, tailwindcss

Summary: Candidates need 2+ years of software engineering experience, a product-first approach with a focus on shipping impactful code quickly, and strong problem-solving abilities. Interest in life sciences is desired, and the role requires working onsite in the San Francisco office three days a week.

Skills: cloud infrastructure, aws, kubernetes, istio, service configuration, traffic management, platform tooling, eks, ecs, rds, vpc, ec2, s3, observability, metrics, logging

Summary: Candidates should possess a PhD/Master's degree, preferably in Computer Science, or equivalent experience, along with 5-9 years of Machine Learning engineering experience, including ownership of large-scale software systems. Experience with LLM-driven chatbot and Agentic AI products is highly desirable.

Skills: machine learning, artificial intelligence, generative ai, llm fine-tuning, optimization, rag, search, llm evaluation, testing automation, feedback-based learning, guardrail, software systems, ai models, ml services, communication

Summary: Autonomy to own Aden's core product experience as a versatile cross‑functional Product Lead; opportunity to shape a category‑defining, AI financial governance platform with equity, strong culture, and early-stage growth.

Skills: react, node.js, express, tailwind, sql, nosql, mongodb, postgresql

Summary: Candidates must have 6+ years of professional software engineering experience, including at least 2 years in people management, with a proven track record of delivering production software. Essential qualifications include strong judgment in prioritization, comfort with distributed environments, and commitment to Mozilla's values.

Skills: people management, software engineering, backend services, platform development, mentoring, project delivery, stakeholder partnership, product management, quality assurance, security standards, privacy standards, team culture, hiring, onboarding, prioritization, execution

Summary: Candidates must be currently pursuing or have completed a Bachelor's or Master's degree in Computer Science, or possess equivalent experience in related fields, with the right to work in the US without sponsorship. This position is part of an Early Career program offering structured onboarding, mentorship, and development.

Skills: python, matlab, web-based applications, automation, validation testing, product quality, engineering efficiency, full-stack development, backend automation, frontend interfaces, ci/cd pipelines, sata, storage protocols

Summary: Candidates must be currently pursuing or have completed a BS/MS in Computer Science or possess equivalent experience in related fields, with the right to work in the US without sponsorship. This position is part of Western Digital's Early Career program, offering structured onboarding, mentorship, and development.

Skills: python, matlab, web-based applications, automation, validation testing, full-stack development, backend, frontend, ci/cd pipelines, sata, storage protocols

Summary: Candidates must be currently pursuing or have completed a Bachelor's or Master's degree in Computer Science, or possess equivalent experience in related fields, with the right to work in the US without sponsorship. This position is part of an Early Career program offering structured onboarding, mentorship, and development.

Skills: python, matlab, web-based applications, automation, validation testing, full-stack development, backend automation, frontend interfaces, ci/cd pipelines, sata, storage protocols

Summary: Candidates should be currently pursuing or have completed a BS/MS in Computer Science or possess equivalent experience in related fields. This position is part of an Early Career program offering structured onboarding, mentorship, and development.

Skills: python, matlab, web-based applications, automation, validation testing, full-stack development, backend automation, frontend interfaces, ci/cd pipelines, sata, storage protocols

Summary: Candidates must be currently pursuing or have completed a Bachelor's or Master's degree in Computer Science, or possess equivalent experience in related fields, and must have the right to work in the US without sponsorship. This position is part of Western Digital's Early Career program, offering structured onboarding and mentorship.

Skills: python, matlab, web-based applications, automation, validation testing, full-stack development, backend automation, frontend interfaces, ci/cd pipelines, sata, storage protocols

Summary: Candidates must have 4+ years of engineering management experience with a proven track record of scaling high-performing teams and delivering complex, cross-departmental projects. Essential technical experience includes React, CSS, mobile web, and Figma, alongside an obsession with user experience and strong recruiting skills.

Skills: engineering management, ux, frontend engineering, ui excellence, technical vision, strategy, react, css, css frameworks, mobile web, figma, communication, mentoring, performance management, career development, user experience

Summary: Candidates must possess proven experience leading multidisciplinary engineering teams that deliver both physical hardware and software products, including deep expertise in hardware development (ICs, circuitry, secure elements, wearables) and embedded firmware. Strong experience building and operating scalable SaaS platforms and implementing modern Agile/DevOps practices is also required.

Skills: hardware development, firmware, software development, cloud services, agile development, devops practices, architecture decisions, silicon, secure elements, circuitry, board design, cryptography, apis, mobile applications, desktop software, saas platforms

Summary: Candidates must possess over 10 years of experience in business development and sales within engineering design services, demonstrating a strong background in solution selling and a proven record of closing sales contracts. A Bachelor's degree is preferred, along with excellent communication skills and the ability to work with offshore delivery teams.

Skills: business development, sales, engineering design services, solution selling, relationship building, prospecting, cold calling, consultative sales, value proposition creation, negotiation, pipeline management, crm tool usage, technical specifications interpretation, proposal development, trade show support

Summary: Candidates must be pursuing a B.S. or M.S. in a related technical field and possess strong programming skills in languages like Go, Python, or C/C++, alongside solid CS fundamentals. Practical experience with Kubernetes, Docker, cloud platforms, and Linux environments is required.

Skills: go (golang), python, c/c++, kubernetes, docker, cloud-native technologies, gcp, aws, azure, git/github, linux/unix, ci/cd pipelines, infrastructure-as-code, api design, automation scripting, testing

Summary: Candidates should possess 5-8 years of back-end software development experience with a strong background in data engineering, analytics, and building data-driven products, including deep expertise in PostgreSQL and MongoDB. A fit requires the ability to translate business needs into technical solutions, advocate for long-term solutions while meeting timelines, and thrive as a self-starter in fast-moving environments.

Skills: typescript, node.js, postgresql, mongodb, apis, etl pipelines, looker, data architecture, data ingestion, database schema optimization, data validation, technical leadership, data modeling, ai/ml capabilities, back-end development, data engineering

Summary: Candidates must have experience leading engineers in a technical or team lead capacity, coupled with solid experience as a Software or Data Engineer owning production systems, particularly using Python (4+ years). Essential technical requirements include experience with modern cloud data warehouses, ETL/ELT pipelines, data modeling, and orchestrated data pipelines like Dagster or Airflow.

Skills: python, etl/elt pipelines, snowflake, databricks, dagster, dbt, aws, data modeling, system design, team leadership, coaching, mentoring, code review, observability, fastapi, django

Summary: Candidates must possess a BS Degree in Mechanical Engineering or related field, be a US Citizen with an Active Secret Clearance, and have fifteen years of experience in US Naval Ship Engineering. A minimum of ten years leading engineering teams supporting projects with at least 10 FTEs across multiple HM&E disciplines is required.

Skills: engineering management, machinery integration, naval engineering, ship design, propulsion systems, electrical machinery control, mechanical design, systems engineering, quality assurance, technical advice, proposal development, client interface, regulatory compliance, design processes, mentorship, subject matter expert

Summary: Successful candidates must demonstrate experience managing and scaling IT or engineering teams, possessing strong people leadership skills for coaching and retention. A solid understanding of IT operations fundamentals, experience operating in globally distributed teams across time zones, and comfort balancing regional autonomy with global alignment are essential.

Skills: people leadership, talent retention, it operations delivery, global partnership, escalation management, process improvement, workflow definition, policy definition, data analysis, operational metrics, global it initiatives, stakeholder partnership, employee technology needs, risk communication, ai application, end-user support

Summary: Candidates must have 3+ years of experience leading/managing software development teams and a strong technical background capable of guiding technical discussions or being hands-on when necessary. A proven ability to align the roadmap with business objectives and effective communication skills for partnering with Product and Design teams are also required.

Skills: ruby on rails, react, graphql, team leadership, software development, web applications, system performance, data scaling, product management frameworks, hiring, onboarding, typescript, postgres, aws, heroku, soc2 controls

Summary: A Bachelor's degree or foreign equivalent in Computer Science, Electronics Engineering, or a related field is required, along with five years of experience in machine learning infrastructure and ML operations development within a health plan or provider organization. Candidates must also demonstrate expertise in using AWS or other public clouds for Data Engineering, data management/quality assurance, distributed systems engineering, and programming proficiency in R, Python, Java, and C#.

Skills: data engineering, provider data, data products, health outcomes, process efficiency, profitability, data assets, data quality assurance, ml-based tools, decision support tools, ml ops, governance, compliance, data security, aws, python

Summary: Candidates must have over 10 years supporting federal government programs, including at least 5 years in program management or leadership, with demonstrated success managing DoD programs across the full acquisition lifecycle. A current/active U.S. Secret Security Clearance is mandatory, along with strong knowledge of DoD acquisition pathways and contracting structures.

Skills: program management, dod program execution, business development, technical leadership, army stakeholders, agile development, risk management, contract management, capture management, proposal development, c5isr, cybersecurity, netops, c2 environments, executive briefings, program growth strategies

Summary: Candidates must demonstrate success in people leadership within systems engineering, particularly for large-scale SaaS products, and possess competency in at least one software development language. Required technical depth includes designing, deploying, and operating AWS infrastructure and managed services at scale, alongside proven ability to hire, coach, and retain engineering talent.

Skills: people leadership, systems engineering, saas products, software development, aws infrastructure, managed services, rds, eks, lambda, technical problem solving, hiring, mentoring, roadmap development, process improvement, ai, kubernetes

Summary: Candidates must possess over 8 years of engineering experience, including 2-3 years in a leadership role, with a proven ability to build and retain strong engineering teams. A strong technical foundation in backend systems and APIs is required, alongside experience designing and scaling distributed systems, preferably within a startup environment.

Skills: team leadership, technical direction, architectural vision, roadmap definition, engineering standards, incident response, system design, hsa/fsa payments, api design, typescript, rust, postgres, redis, aws, distributed systems, startup experience

Summary: Candidates must have over 10 years of industry experience building developer-facing tools or data-intensive systems, including at least 3 years managing software engineers with a proven track record in hiring and development. Essential qualifications include technical excellence, hands-on engagement with technical designs, deep interest in developer tooling trends, and experience collaborating with and earning trust in open-source communities.

Skills: recruiting, coaching, team development, technical direction, architectural decisions, roadmap planning, open source software (oss), community collaboration, product ownership, customer centricity, hiring, talent retention, execution driving, technical design review, code review

Summary: Candidates must have 5+ years in SRE/DevOps/Cloud Engineering, with at least 2 years in management, preferably in IAM, and demonstrable experience in regulated audit cycles like FedRAMP, including managing POA&Ms. Expertise in a major cloud provider, Infrastructure as Code (Terraform), CI/CD, and a scripting language like Python or Go is required.

Skills: sre, devops, cloud engineering, management, identity and access management, fedramp, dod cc srg, nist sp 800-53, aws, azure, gcp, terraform, ci/cd, git, python, go

Summary: Candidates must have over 10 years of industry experience building developer-facing tools or data-intensive systems, including 3+ years managing software engineers with a proven track record in hiring and development. A strong background in open source collaboration, product ownership, and technical excellence with hands-on engagement in designs and code reviews is required.

Skills: team leadership, coaching, talent development, technical direction, architectural decisions, roadmap ownership, open source software, ecosystem expansion, community collaboration, product ownership, customer centricity, execution driving, developer tooling, data intensive systems, stakeholder collaboration

Summary: Candidates must have over 10 years of industry experience building developer-facing tools, OSS, or data-intensive systems, including 3+ years managing software engineers with a proven track record in hiring and development. A strong product ownership mindset, customer-centric approach, and experience collaborating with open source communities are also required.

Skills: recruiting, coaching, team development, technical direction, architectural decisions, roadmap ownership, open source software (oss), ecosystem expansion, community collaboration, product management, developer relations, sales engineering, hiring, mentoring, execution driving, technical excellence

Summary: Candidates must have 3+ years managing software engineers with a proven track record in hiring, developing, and retaining talent, alongside 10+ years of industry experience building developer-facing tools or data-intensive systems. Essential qualifications include technical excellence, experience with open source communities, strong product ownership, and a customer-centric approach.

Skills: recruiting, coaching, team development, technical direction, architectural decisions, roadmap ownership, open source software, ecosystem expansion, community collaboration, stakeholder management, execution driving, technical excellence, product ownership, customer centricity, data intensive systems, developer tooling

Summary: Minimum qualifications require a Bachelor's degree in a related field, 8+ years in software development, and at least 3 years of direct team management experience, specifically leading product-oriented teams with measurable user impact. Preferred experience includes growth engineering stacks, marketplace dynamics, and scaling systems organizationally and technically.

Skills: engineering roadmap definition, personalized offer recommendations, cross functional collaboration, team leadership, coaching, high-performing team development, experimentation, data-driven insights, user engagement optimization, conversion optimization, offer generation infrastructure scaling, intelligent targeting, product recommendations, offer orchestration, cost optimization, machine learning collaboration

Summary: Candidates must possess over 10 years of industry experience, including 2-4 years leading teams delivering customer-facing products, with expertise in cloud development (GCP) and microservices architecture. Essential skills include strong leadership, coaching abilities, effective communication, and experience with modern UI frameworks like React.

Skills: software development, saas, automation, analytical skills, troubleshooting, leadership, communication, mentoring, code reviews, software architecture, slos/slis, gcp, microservices, react, micro frontends

Summary: Candidates must possess a Bachelor’s Degree in Computer Science or a related field, with over 10 years of software development experience, including 5+ years managing managers and senior leaders. Required technical depth includes proficiency in a strongly-typed language, experience with modern cloud platforms, and demonstrated success leading large-scale platform or shared services organizations.

Skills: platform modernization, shared services, architecture, apis, data, caching, ci/cd, observability, identity, cloud infrastructure, service-oriented design, ai-assisted engineering, security posture, java, c#, react

Summary: Candidates must possess a Bachelor's degree in Engineering, Science, or a related field, with a PMP certification highly preferred, alongside a minimum of five years in project management for large construction projects, ideally in renewable energy. Experience with solar industry exposure and piping system commissioning is beneficial, along with proficiency in standard project management software and strong financial acumen.

Skills: project management, design execution, scope management, schedule management, budget management, client communication, risk mitigation, issue resolution, quality assurance, compliance monitoring, piping system commissioning, microsoft office suite, crm software, project management tools, financial acumen, organizational skills

Summary: Candidates must have 10–15 years of software engineering experience, including 4–7 years managing high-performing teams, with demonstrated ownership of systems requiring strict reliability, latency, and correctness constraints. Required domain experience includes pricing, fintech, lending, payments, marketplaces, or real-time decisioning systems, alongside strong system design skills.

Skills: backend engineering, team leadership, coaching, system ownership, technical strategy, architectural goals, production safety, observability, incident response, cross-functional collaboration, risk management, latency management, correctness constraints, system design, distributed systems, fintech

Summary: Candidates must have 10-15+ years of experience as an SAP Consultant, with 8-10+ years specifically in SAP Manufacturing Execution and PEO modules, demonstrating strong expertise in SAP S/4HANA manufacturing processes. Applicants must be US Citizens working for a DOD vendor and possess the necessary clearance.

Skills: sap s/4hana, sap peo, sap mes, sap manufacturing execution, sap plm, blueprinting, process mapping, validation, integration, client engagement, functional requirements, system specifications, testing, user training, change management

Summary: Candidates need at least 3 years of software engineering experience, ideally building and scaling shared systems and internal platforms supporting multiple roadmaps. Proficiency in writing network services or asynchronous code in Rust, coupled with a security-first mindset and the ability to debug across the stack, is required.

Skills: rust, software engineering, systems ownership, architecture, distributed systems, network services, asynchronous code, security-first mindset, debugging, rpc protocols, kafka, event driven systems

Summary: Candidates need over 3 years of software engineering experience, ideally building consumer-facing products, with proficiency in writing network services or asynchronous code in Rust. A security-first mindset and the capability to autonomously debug issues across the stack are also required.

Skills: rust, software engineering, network services, asynchronous code, security, debugging, distributed systems, rpc protocols, kafka, event driven systems, product intuition, performance, reliability, low-latency solutions, trading, payments

Summary: Candidates must possess over three years of software engineering experience, ideally in building consumer-facing products, with proficiency in writing asynchronous code and network services using Rust. A security-first mindset and the ability to autonomously debug issues across the stack are also required.

Skills: rust, software engineering, network services, asynchronous code, security-first mindset, debugging, distributed systems, rpc protocols, kafka, event driven systems, product intuition, performance, reliability, low-latency solutions

Summary: Candidates must possess over 7 years of software engineering experience, including proficiency in building and scaling shared systems and writing asynchronous Rust code for network services. A security-first mindset and a solid understanding of distributed systems like RPC, Kafka, and Event-Driven Systems are required.

Skills: rust, software engineering, systems ownership, architecture, distributed systems, rpc protocols, kafka, event-driven systems, observability, auditability, security, asynchronous code, debugging, scalability, low-latency, fault-tolerant

Summary: Candidates must possess over 7 years of software engineering experience, including proficiency in building and scaling shared systems and writing asynchronous Rust code for network services. A strong security-first mindset and deep understanding of distributed systems like Kafka and RPC protocols are essential.

Skills: rust, software engineering, systems ownership, architecture, distributed systems, security, observability, auditability, rpc protocols, kafka, event-driven systems, asynchronous code, debugging, scalability, low-latency, fault-tolerant

Summary: Candidates need over 7 years of software engineering experience, proficiency in writing asynchronous Rust code for network services, and a security-first mindset during system design. A solid understanding of distributed systems, including Kafka and Event-Driven Systems, is required, along with the ability to take end-to-end ownership.

Skills: rust, network services, asynchronous code, security-first mindset, debugging, distributed systems, rpc protocols, kafka, event-driven systems, system design, ownership, mentorship, fintech, crypto, performance, reliability

Summary: Candidates must have over 7 years of software engineering experience, proficiency in writing asynchronous Rust code for network services, and a strong security-first mindset during system design. A solid understanding of distributed systems technologies like Kafka and RPC protocols is also required, along with the ability to take end-to-end ownership.

Skills: rust, software engineering, network services, asynchronous code, security-first mindset, distributed systems, rpc protocols, kafka, event-driven systems, system design, debugging, mentorship, product intuition, low-latency solutions, testable code, ownership

Summary: Candidates need at least three years of software engineering experience, ideally building and scaling shared systems and internal platforms. Proficiency in writing asynchronous Rust code for network services and a demonstrated security-first mindset are required, along with the ability to debug issues across the entire stack.

Skills: rust, systems ownership, architecture, distributed systems, asynchronous code, network services, security, observability, auditability, rpc protocols, kafka, event driven systems, debugging, scalability, resilience

Summary: Candidates must have experience in AI development or data engineering with successfully deployed projects, expertise in data processing, vector databases, and strong Python skills for AI pipelines. Familiarity with RAG systems, NLP, and generative AI models is highly valued.

Skills: python, etl pipelines, xml, data modeling, metadata enrichment, generative ai, vector databases, elasticsearch, qdrant, neo4j, apache airflow, docker, aws, rag systems, nlp, fastapi

Summary: Candidates must demonstrate experience building and operating large-scale products, showing strength in full-stack engineering with a strong product sense and ownership mindset, solving problems regardless of the tool used. Essential requirements include daily use of AI coding tools and evidence of deep problem-solving ability focused on member-first outcomes.

Skills: system design, product thinking, ai-native engineering, full-stack engineering, product ownership, architecting, feature delivery, reliability engineering, quality assurance, mentoring, cross-functional collaboration, customer centricity, ai coding tools

Summary: Candidates must have 5+ years of data engineering experience, including at least 1 year in a mentorship role, and expertise in building t-SQL statements, preferably in MSSQL, along with required expertise in SSIS. A college degree or equivalent experience is necessary, along with 2+ years of experience in the residential or commercial real estate industry.

Skills: data engineering, etl processes, t-sql, mssql, ssis, data governance, data orchestration, agile methodologies, sdlc, excel, microsoft office suite, time management, communication, analytical ability, mentorship

Summary: A Bachelor's degree in Engineering, Physics, Chemistry, Computer Science, or Mathematics (or equivalent) is required, along with a minimum of 10 years of experience in heavy industrial, thermal power, or nuclear industries related to control system design, networking, and field installation/testing. Candidates must also possess at least 7 years of experience in requirements management, system design, and configuration related to instrumentation and control systems.

Skills: work planning, technical approach, design assurance, execution excellence, instrumentation, control systems, dcs, hfe, simulation, digital tools, requirements analysis, risk assessment, scheduling, cost estimation, nuclear safety culture, digital engineering

Summary: Candidates must possess a Bachelor's Degree in a STEM field, preferably Mechanical, along with a minimum of 10 years of related experience in the commercial nuclear industry, including 3 years of engineering team leadership or management. Eligibility requires willingness to travel occasionally and adherence to U.S. person status requirements for access to controlled technology.

Skills: 3d modeling software, technical leadership, managerial leadership, design review, configuration management, hiring, coaching, stakeholder interface, program management, risk management, change management, epc experience, nuclear safety, regulatory compliance, design intent documentation, interference resolution

Summary: Candidates must possess 15+ years of progressive engineering and technology leadership experience, including leading organizations of 50+ engineers, with a Bachelor's degree in a related field. A deep technical background in areas like mobile, web platforms, distributed systems, or cloud architecture is required, along with proven success in operational excellence and managing hybrid engineering models.

Skills: leadership, strategy, architecture, scalability, reliability, performance, privacy, security, mobile engineering, web platforms, apis, cloud architecture, containerization, ci/cd, devops, agile/scrum

Summary: Required qualifications include a Bachelor of Science in Engineering (Mechanical, Nuclear, or similar) and a minimum of 10 years in a technology or engineering role, including 3 years leading or managing an engineering team. Candidates must be U.S. persons due to access to U.S. export-controlled technology.

Skills: leadership, direction, resource management, technical team development, equipment design, reactor vessel, fmcrd, hcu, large valves, hiring, training, mentoring, performance evaluations, project management, risk management, change management

Summary: Qualified candidates must demonstrate proven engineering leadership at scale, capable of leading complex software organizations through change and ambiguity with a high velocity of execution. Essential requirements include strong technical and architectural judgment, experience operating in complex or inherited environments, and a track record of building accountable, high-performing engineering teams.

Skills: engineering vision, execution priorities, outcome-driven roadmap, technical leadership, cross-functional partnership, data science, artificial intelligence, architectural judgment, system simplification, high-performing teams, accountability, cloud-native architectures, aws, healthcare technology, regulated domains, delivery acceleration

Summary: Candidates should have 6+ years of engineering experience, with at least 3 years in SRE/CRE/production engineering, preferably with formal customer reliability engineering experience. Required technical skills include strong Kubernetes experience across major cloud providers, familiarity with infrastructure-as-code tools, experience with multi-tenant systems, and proficiency in at least one programming language like Go or Python.

Skills: site reliability engineering, kubernetes, aws, gcp, azure, infrastructure-as-code, helm, terraform, jsonnet, multi-tenant systems, slos, go, python, java, linux operating systems internals, incident response