Product Engineering Jobs with Equity ≥ 4%

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 have strong experience building production-grade SaaS applications with full-stack responsibility and a proven track record of owning features end-to-end, including shipping AI/LLM-powered functionality. A systems-oriented mindset, the ability to reason about non-deterministic systems, and fluent English are essential.

Skills: typescript, node.js, react, postgresql, llm, rag, system design, observability, testing strategies, monitoring, full-stack development, ai workflows, saas, ci/cd, product thinking, api development

Summary: YC-backed Bree is in rapid growth, profitable with eight-figures in annual revenue and double-digit monthly expansion. This role offers end-to-end ownership in a small, high-ownership engineering team, spanning Lambda-based backend and React Native apps. Unique selling points include a pragmatic, impact-focused culture, strong product-market fit, and clear path to scale in FinTech in Canada. Perks and benefits include generous stipends (learning $1,500; wellness $1,000; lunch $250; commuting $150), comprehensive insurance, annual retreats, parental leave, and unlimited PTO. The company is YC-funded (seed around) with a strong revenue trajectory; visa sponsorship is not available (US citizen/visa only).

Skills: react, node.js

Summary: Candidates must possess advanced knowledge (5+ years) in Python and its ecosystem, along with intermediate experience (3+ years) in relational databases like PostgreSQL and Linux system administration. Familiarity with the container ecosystem and agile methodologies is also required.

Skills: python, relational databases, postgresql, linux system administration, container ecosystem, kubernetes, openshift, docker, podman, agile methodologies, system architecture, english communication, django, celery, ansible, gitlab ci

Summary: Candidates must have over 3 years of experience in a technical, customer-facing role focused on AI/ML or highly technical SaaS products, with proven hands-on experience deploying LLM solutions using modern agentic frameworks. Deep expertise in voice stacks, TTS integration, and solid software development skills in Python for production deployment are also required.

Skills: product engineer, agentic voice ai, llms, conversational voice, workflow design, prompt engineering, tts integration, python, javascript, full-stack development, a/b testing, performance monitoring, devops, customer facing, langchain, llamaindex

Summary: Required qualifications include a Bachelor's degree in Engineering or equivalent experience, plus over 5 years supporting products and creating technical documentation via various communication channels. Candidates must be proficient in analyzing complex product system problems, possess knowledge of controls, wiring, and instrumentation, and be skilled with Microsoft Suite applications.

Skills: technical support, risk identification, serviceability, safety, quality, reliability, new product introduction, technical literature, service bulletins, service letters, continuous improvement process, product technical support, quality management, engineering, test plans, problem solving

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 extensive experience designing and building high-performance, asynchronous services using Node.js with modern TypeScript practices, alongside advanced knowledge of software engineering principles like SOLID and DRY. Deep hands-on experience with AWS Serverless ecosystem design, deployment, and optimization is essential, as is the ability to architect scalable RESTful APIs.

Skills: node.js, typescript, aws serverless, aws lambda, api gateway, sqs, event bridge, fargate, restful apis, solid, dry, code reviews, pair programming, relational database technologies, system-level mindset, mentorship

Summary: Candidates must possess over 5 years of experience in product or application security, demonstrating strong knowledge of common vulnerabilities and secure development practices. Required hands-on experience includes using security tooling like SAST/DAST, container scanning, IaC security tools, and working within containerized/Kubernetes environments.

Skills: product security, application security, security engineering, security controls, soc 2, iso 27001, sast, dast, container scanning, iac security, threat modeling, vulnerability management, kubernetes, ci/cd integration, go, python

Summary: Candidates must have 9+ years of relevant engineering experience and a Bachelor's, Master's, or PhD in CS or a related field, demonstrating experience shipping ML-powered product features in production environments. Essential expertise includes exceptional architecture abilities for large-scale applications, familiarity with NLP/NLU, and strong technical leadership skills to bridge ML research and engineering execution.

Skills: machine learning, technical vision, architecture, end-to-end delivery, prototyping, experimentation, monitoring, scalability, reliability, nlp/nlu, large language models, technical leadership, distributed systems, real-time systems, ml infrastructure, a/b testing

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 strong proficiency with the Unity Editor, Unity Engine architecture, and experience upgrading projects across different Unity versions, coupled with strong C# skills for debugging large, multithreaded codebases. Essential requirements include experience shipping interactive applications, knowledge of profiling/performance analysis, and comfort diving into unfamiliar codebases to resolve complex technical issues.

Skills: unity editor, unity engine architecture, c#, debugging, multithreaded codebases, software development lifecycles, profiling, benchmarking, performance optimization, version control systems, code repository management, game upgrades, technical problem-solving, internal tool improvement, feature usage analysis

Summary: Candidates must have strong proficiency with the Unity Editor, Unity Engine architecture, and experience upgrading projects across different Unity versions, coupled with strong C# skills for debugging large, multithreaded codebases. Comfort diving into unfamiliar code to solve complex technical issues and knowledge of version control systems are also essential.

Skills: unity editor, unity engine architecture, c#, debugging, multithreaded codebases, software development lifecycles, profiling, performance optimization, technical problem-solving, version control systems, code repository management, build automation, ci/cd pipelines, release engineering workflows, game asset pipelines, rendering systems

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: First PM at a fast-growing neurodivergent-health startup, shaping AI-enabled products for autistic adults. Define strategy, metrics, and outcomes with a small, high-ownership team; funded with US$16.2M and a culture of clients-first accountability. Visa sponsorship not available; comprehensive benefits and a mission-driven environment.

Skills: metabase, snowflake, figma, chatgpt, claude-code, cursor, sql

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 have over 5 years of experience developing and shipping cloud-native applications and platform services to production, along with 5+ years working with large relational datasets. Required technical experience also includes 2+ years with contemporary Javascript frameworks like Vue or React and a solid understanding of cloud services, preferably AWS.

Skills: full-stack, gis, web-based fiber management platform, tile servers, fiber network models, interactive maps, open source libraries, web services, cloud-native applications, javascript frameworks, relational datasets, cloud services, aws, agile development methodologies

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: Candidates must possess a strong product engineering background with experience building complex, data-rich web applications using React, coupled with deep customer empathy. A desire to mentor engineers, shape engineering culture, and embrace AI in software development workflows within a fast-moving startup environment is essential.

Skills: react, typescript, aws, postgres, clickhouse, architecture documentation, mentoring, design systems, performance optimization, build tools, product engineering, web applications, customer empathy, ai-assisted engineering, end-to-end ownership

Summary: Candidates must possess a strong command of modern React and TypeScript within large production codebases, coupled with experience shipping complex, interactive web applications like design or visual editors. Essential qualifications also include strong product judgment, experience collaborating with design/product teams, and comfort working across the stack to integrate APIs.

Skills: react, typescript, frontend architecture, state management, data synchronization, performance strategy, api design, system integration, code quality, observability, maintainability, webassembly, webworkers, client-side parallelization, ai-native product experiences

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: 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 a Bachelor’s degree in a relevant technical or engineering field, along with at least one year of experience focused on product compliance, though internships may count. Essential knowledge includes global environmental regulations like RoHS, REACH, and TSCA, as well as familiarity with testing standards such as FCC and CE.

Skills: product compliance, environmental compliance, global product compliance, design for the environment, safer materials, global compliance standards, regulatory compliance, product declarations, testing coordination, material science, electrical engineering, mechanical engineering, environmental science, chemical engineering, project multitasking, problem solving

Summary: Successful candidates will be curious, adaptable, and proactive problem solvers who value team success and continuous learning over individual heroics, focusing on solving user problems using technology.

Skills: product thinking, engineering excellence, adaptability, curiosity, problem solving, ruby on rails, react, react native, heroku, cloudflare, ai, system scaling, team processes, communication, async habits, ownership

Summary: YC-backed healthcare AI startup offering a high-ownership product engineering role to build AI agent workflows in production with real-world impact. Strong growth potential; visa: US citizen/visa only.

Skills: python, typescript

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 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 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: Candidates must have 7-10+ years of experience in full-stack software development, shipping SaaS products end-to-end, with advanced proficiency in languages like Go, Node.js, TypeScript, or Python. A strong requirement is fluency in using AI-assisted development tools daily to accelerate output, alongside experience with product analytics and CI/CD practices.

Skills: full-stack development, saas products, go, node.js, typescript, python, ai-assisted development, product analytics, a/b testing, ci/cd, aws, kubernetes, observability, mentoring, customer interaction, product thinking

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 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 extensive experience building and scaling distributed backend systems in Go, coupled with strong hands-on expertise in high-performance columnar databases like ClickHouse. A solid understanding of distributed systems architecture and proven success in building and optimizing large-scale data pipelines are essential qualifications.

Skills: go, clickhouse, backend services, data systems, distributed systems, restful apis, data pipelines, microservices, observability, telemetry data, storage optimization, querying strategies

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 must possess full-stack technical depth with solid production-level capabilities across frontend and backend, alongside strong systems thinking for scalable design. They should also demonstrate a product and customer mindset, ownership, and readiness to thrive in an ambiguous, fast-paced startup environment.

Skills: full-stack technical depth, backend systems, frontend systems, systems thinking, system design, product mindset, customer mindset, ownership, autonomy, start-up readiness, collaboration, communication, learning mindset, public apis, third-party integrations, business-critical systems integration

Summary: Candidates must have over 5 years of experience shipping production software, with deep expertise in Python or TypeScript and end-to-end system ownership. A strong background in modern AI/ML tooling, coupled with startup readiness, high autonomy, and strong product intuition, is essential.

Skills: python, typescript, llms, fine-tuning, rag, embeddings, distributed training, inference optimisation, product intuition, user-centric mindset, extreme ownership, rapid iteration, high autonomy

Summary: Candidates must have 5+ years of experience building and shipping production software, with deep expertise in Python or TypeScript and a track record of end-to-end system ownership. Required skills include hands-on experience with modern AI/ML tooling and a startup-ready mindset characterized by extreme ownership and high autonomy.

Skills: python, typescript, llms, fine-tuning, rag, embeddings, distributed training, inference optimisation, product intuition, user-centric mindset, extreme ownership, rapid iteration, high autonomy

Summary: Candidates must have 5-8+ years of experience in software engineering, dev relations, sales engineering, or partner engineering, with strong proficiency in Python and JavaScript. A successful candidate will be a strong engineer comfortable operating at the intersection of engineering and business, capable of turning ambiguous ideas into concrete technical plans.

Skills: python, javascript, technical strategy, integration architecting, system scoping, code review, feasibility evaluation, technical planning, api design, graphql, webhooks, oauth, saml, jwt, docker, kubernetes

Summary: Candidates must have 5+ years of professional software engineering experience, a strong track record leading complex projects, and experience building and operating scalable platform systems in production. A strong product judgment is required to balance UX, speed, correctness, and maintainability, alongside understanding the full agentic software development stack.

Skills: platform engineering, web engineering, distributed systems, typescript, react, node.js, postgres, agentic software development stack, meta programming, architecture reviews, mentorship, performance optimization, reliability engineering, observability, product sense, cross-functional 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 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 10 to 12+ years of full-stack software development experience building SaaS products, with expert proficiency in languages like Go, Node.js, TypeScript, or Python, and mastery in daily use of AI-assisted development tools. Essential requirements also include advanced experience with product analytics, CI/CD, cloud platforms (AWS), and the ability to navigate ambiguity while mentoring others.

Skills: full-stack development, product strategy, technical architecture, go, node.js, typescript, python, ai-assisted development, product analytics, ci/cd, aws, kubernetes, observability, mentoring, stakeholder alignment, system design

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 need a Bachelor's degree or equivalent professional experience in a technical discipline, along with at least two years of experience in security research or a related field. Required technical expertise includes protocol analysis (TLS, HTTP, etc.), understanding of network security vulnerabilities, and proficiency in pattern matching and scripting languages like Go or Python.

Skills: protocol analysis, tls, http, ssh, smb, smtp, network security vulnerabilities, cvss scoring, exploit techniques, data analysis, google bigquery, regular expressions, go, python, security research, systems security

Summary: Candidates must have a minimum of 5 years of engineering experience in banking or fintech, coupled with 3+ years in product or hybrid roles, demonstrating strong product thinking capabilities. Essential skills include the ability to write precise documentation, understand distributed systems and APIs, and validate AI-generated code.

Skills: fintech, banking products, product thinking, ai tools, high-fidelity specifications, architectural decisions, regulatory requirements, distributed systems, apis, code review, writing, precision in language, async workflow, prototyping

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 be full-stack generalists capable of independently wiring together a complete working product quickly, demonstrating fluency in the AI tooling ecosystem and a builder mindset over deep specialization. Required experience includes 1-4 years in software engineering or applied AI, hands-on experience integrating major AI APIs, building agentic workflows, and strong RAG skills.

Skills: full-stack development, ai api integration, agentic workflows, rag pipelines, frontend frameworks, server-side development, database management, prompt engineering, vector databases, typescript, node.js, python, c#/.net, langchain, crewai, autogen

Summary: Candidates must be full-stack generalists capable of building entire working products solo, demonstrating speed and a builder instinct over extensive planning. Required technical fluency includes modern frontend/backend frameworks, API development, and hands-on experience integrating AI model APIs, building agentic workflows, and developing RAG pipelines.

Skills: full-stack generalist, react, vue.js, typescript, node.js, python, c#/.net, rest, graphql, postgresql, mysql, ai model apis, agentic workflows, langchain, rag pipelines, prompt engineering

Summary: The ideal candidate is a full-stack generalist with 1–4 years of experience who can independently build entire working products quickly, demonstrating fluency in the AI tooling ecosystem and a builder mindset. Required technical skills include proficiency with modern frontend frameworks, server-side development, database fundamentals, and hands-on experience integrating various AI model APIs and building agentic workflows.

Skills: full-stack development, ai api integration, agentic workflows, rag pipelines, react, typescript, node.js, python, c#/.net, rest apis, graphql apis, postgresql, mysql, openai, anthropic, gemini

Summary: Hybrid NY role empowering an AI product engineer to own scalable production AI systems across Hg Catalyst's portfolio; opportunity to act as a serial AI product entrepreneur with strong investor backing, 9-18 month sprints, and up to 100% cash bonus + carry; visa sponsorship available, no new H1Bs; fast-growing, high-performance culture.

Skills: react, typescript, python, fastapi, kubernetes, aws, gcp, machine-learning, genai

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: The role requires 3 to 5+ years of experience and is classified as an Individual Contributor (IC3) requiring proficiency in English for reading, writing, and speaking. Candidates should have expertise in data platform engineering for building intelligent systems.

Skills: backend development, generative ai, cloud-native technologies, data platform engineering, system development, technical staff contribution, platform development

Summary: Candidates should have expertise in data platform engineering to contribute to a robust and intelligent system within the Oracle Health division. The role requires 3 to 5+ years of experience and proficiency in reading, writing, and speaking English.

Skills: backend development, generative ai, cloud-native technologies, data platform engineering, technical staff, platform development, system creation, ai integration

Summary: Candidates should possess 6 to 10+ years of experience, be proficient in English (reading, writing, and speaking), and function as an Individual Contributor at the IC4 career level. The role requires expertise in data platform engineering for a new AI-powered platform.

Skills: backend development, generative ai, cloud-native technologies, data platform engineering, platform development, system creation, technical staff

Summary: Candidates should possess expertise in data platform engineering to drive the creation of a robust and intelligent system for the new Gen AI product. The role requires 6 to 10+ years of experience and proficiency in English.

Skills: backend development, generative ai, cloud-native technologies, data platform engineering, platform development, system creation, technical staff

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 a Bachelor's degree in mechanical engineering or a related field, coupled with over 10 years of mechanical engineering experience, including at least 5 years focused on data center design and operations. Essential expertise includes 10+ years with refrigeration and water-based heat rejection products for mission-critical applications, along with strong communication and stakeholder management abilities.

Skills: product vision, manufacturing oversight, supplier management, project management, collaboration, code compliance, supply chain alternatives, quality testing, root cause analysis, risk mitigation, technical communication, stakeholder management, data analysis, strategic thinking, adaptability, leadership

Summary: Candidates must be experienced backend engineers with a proven track record of shipping AI products in the current LLM era, specifically involving text and data-heavy applications. Essential requirements include hands-on experience with LLM orchestration, API optimization, familiarity with RAG architectures, and experience with AI observability.

Skills: backend engineering, ai features, backend services, data pipeline, apis, system scalability, ai infrastructure, ai accuracy, llm orchestration, llm api optimization, rag architectures, ai observability, product minded, customer focused, agent frameworks, postgres

Summary: The ideal candidate has experience shipping features end-to-end in fast-paced settings, demonstrating strong initiative and agency rather than waiting for direction. They must be impact-driven, motivated by customer success, and enjoy shaping product decisions through close customer collaboration.

Skills: frontend, backend, full stack, feature development, product direction, technical direction, design collaboration, customer collaboration, initiative, agency, impact driven, product centric, craftsmanship

Summary: The ideal candidate thrives in early ideation, is impact-driven, and measures success by the end-user experience, preferably with a background in product-led B2B SaaS companies. Candidates must be autonomous, capable of architectural discussions, and experienced with distributed, serverless systems, while avoiding roles focused on management or constant technological experimentation.

Skills: backend architecture, data modeling, high-performance reporting, api development, data pipelines, distributed systems, serverless systems, product direction, technical architecture, roadmap planning, customer feedback analysis, feature shipping, developer experience, prioritization, trade-off analysis

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: Required qualifications include a Bachelor of Science Degree in Engineering or Business Administration, or an equivalent Technical Associates degree with 10 years of relevant experience. Candidates must have 5 years of experience in Product Definition or Configuration Management, along with experience in Nuclear engineering design or product/process experience.

Skills: product definition, configuration management, nuclear industry, plm system, enovia, teamcenter, design integrity, corrective actions, cross-functional teams, technical data documentation, lean tools, six sigma tools, communication, delegation, project management, leadership

Summary: Required qualifications include a Bachelor of Science Degree in Engineering or Business Administration, or an equivalent Technical Associates degree with five years of relevant product definition experience, including experience in nuclear engineering design. Candidates must be authorized to work in the USA without sponsorship now or in the future.

Skills: product definition, small modular reactor technology, configuration management, document management, change control processes, plm system, enovia, teamcenter, design integrity, first pass yield, concurrent engineering, technical data presentation, corrective actions, lean, six sigma, interpersonal skills

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 be highly accountable, curious, collaborative, comfortable with ambiguity, and value-driven, demonstrating an owner's mindset in shipping quality products quickly. Experience is required in building complex web applications with robust CI/CD and cloud monitoring, leading projects across frontend, backend, and infrastructure, and upholding engineering best practices.

Skills: full-stack solutions, python, react, aws, ci/cd pipelines, cloud monitoring, ehr integration, hipaa compliance, technical communication, architectural patterns, ownership, collaboration, ambiguity navigation, value-driven, technical excellence, product design

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 have 3-4 years of professional experience as a Power BI Developer or similar role, demonstrating strong expertise in Data Modeling, DAX, and Power Query/M. A product mindset, structured work approach, and very good written and spoken German skills are essential.

Skills: power bi, data modeling, dax, ux/ui, etl processes, microsoft fabric, pbi dataflows, sql, azure, power automate, ai application, product development, architecture development, quality assurance, communication

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 have 8+ years of professional software engineering experience, focusing on data-intensive systems, and strong proficiency in building and operating large-scale data pipelines using languages like Java, Scala, Kotlin, or Python, plus SQL. Experience with AdTech measurement products or experimentation platforms, and demonstrated ability to lead large cross-functional initiatives using technical leadership are also required.

Skills: architecture, data pipelines, java, scala, kotlin, python, sql, apis, distributed systems, data modeling, performance optimization, ai enablement, ci checks, test strategy, data validation, root cause analysis

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 be Engineering Generalists capable of owning the end-to-end flow of user interaction with AI, from complex backend logic to responsive React dashboards. A strong product mindset is required, focusing on user experience and seamless conversation flow with AI agents.

Skills: typescript, mongo, clickhouse, react, express, k8s, product architecture, agentic query engine, ai/ml ux, monorepo, nx monorepo, platform development, containerization, security

Summary: Candidates must bring 4+ years of experience in application security engineering, DevSecOps, or security platform engineering, with deep familiarity with security frameworks like CVSS, MITRE ATT&CK, and OWASP Top 10. Proven expertise with core AWS services, securing CI/CD pipelines using policy-as-code, and strong scripting skills for automation are essential.

Skills: threat modeling, secure code reviews, static analysis, dynamic analysis, vulnerability triage, tool orchestration, appsec automation frameworks, pentest tooling, security architecture, siem tuning, aws configuration, iam, encryption keys, vpc segmentation, policy-as-code, container security

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 three years of hands-on experience in mobile application development across both iOS and Android platforms, coupled with backend API development. Preferred advanced proficiency includes React Native, Objective-C, Spring Boot (Java), and familiarity with Microsoft Intune for enterprise support.

Skills: mobile application development, ios, android, backend api development, react native, objective-c, spring boot, java, microsoft intune, test driven development, continuous integration, continuous delivery, continuous deployment, full stack, frontend, backend services

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 possess a strong product mindset, excellent understanding of frontend and backend web development best practices, and experience in a high-growth startup environment. Essential requirements include comfort with ambiguity, strong communication skills, and alignment with the mission of solving problems for African businesses.

Skills: typescript, react, nextjs, nodejs, express, postgresql, web development, frontend best practices, backend best practices, product mindset, code quality, testing, documentation, reviews, communication, security

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 should possess 1 to 3 years of experience in product development or sourcing, preferably within accessories, beauty, or consumer goods, coupled with strong organizational and communication skills. Essential requirements include experience working with overseas suppliers, navigating sample rounds, and proficiency with project management tools like Asana.

Skills: product development, sourcing, accessories, organization, detail-oriented, communication, supplier management, sample management, timeline management, asana, trend analysis, data gathering, quality standards, cross-functional alignment

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 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 at least five years of professional backend development experience, demonstrating strong proficiency in Python and Kubernetes, along with proven experience deploying containerized solutions in production. The ideal candidate should also have a problem-solving attitude and strong collaborative skills.

Skills: python, kubernetes, azure, aws, gcp, containerized solutions, ai, javascript, typescript, postgresql, next.js, machine learning, predictive analytics, rag, ai agents, ci/cd

Summary: Candidates must have over four years of experience in technical or production support for B2B customers, coupled with a good understanding of API technologies and troubleshooting, including familiarity with HTTP response codes. Proficiency in a Linux environment, intermediate SQL knowledge, and scripting skills in languages like Python or Shell are required.

Skills: api technologies, linux environment, sql, python, ruby, shell scripting, kibana, splunk, appdynamic, sumlogic, grafana, datadog, new relic, visa transaction flows, mastercard transaction flows, psd2

Summary: Candidates must have 4+ years in technical or production support for B2B customers, with a good understanding of API technologies, HTTP response codes, and comfort in a Linux environment, including intermediate SQL knowledge. Experience in the card payments industry, understanding Visa/Mastercard flows, and scripting skills (Python, Ruby, Shell) are strongly preferred.

Skills: api technologies, linux environment, sql, python, ruby, shell scripting, kibana, splunk, appdynamic, sumlogic, grafana, datadog, new relic, jira, confluence, salesforce

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 possess a Bachelor of Science degree in a relevant engineering field and have over 6 years of experience supporting distributed, hardware-integrated products, with proficiency in diagnostic tools and strong knowledge of electrical fundamentals and automotive systems. Essential requirements include exceptional communication skills, resourcefulness, adaptability, direct customer interaction experience, and willingness to travel up to 25% for on-site investigations.

Skills: hardware debugging, firmware debugging, ai-driven edge computing, root cause resolution, end-to-end debugging, telemetry analysis, post-mortem analysis, r&d collaboration, hardware supportability, diagnostic tools, multimeter, oscilloscope, can analyzers, lin analyzers, electrical fundamentals, automotive electrical systems

Summary: Candidates must possess a strong technical foundation with proficiency in common application and infrastructure security vulnerabilities and mitigations, alongside experience implementing SDL processes and automation within a DevOps environment. Required experience generally includes three or more years in technical security at top-tier software companies, covering areas like threat modeling, security architecture, and cloud computing technologies.

Skills: secure development lifecycle, security automation, security hardening, threat modeling, security design reviews, security tools implementation, secure architecture standards, threat analysis, dast, sast, sca, penetration testing, bug bounty programs, incident response, devops, cryptography

Summary: Candidates must have 5+ years in product or application security, with a proven understanding of security risks associated with Reinforcement Learning and Autonomous Agents. Essential technical depth includes strong Python or Go programming, experience securing GCP and Kubernetes, and deep knowledge of non-human identity security.

Skills: agentic ai security, reinforcement learning security, autonomous agents security, threat modeling, secure architecture design, zero trust, mlsecops, adversarial testing, red teaming, incident preparedness, python, go, gcp, kubernetes, authentication, authorization

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 have full-stack production experience using technologies like TypeScript, React, Node, and Postgres, coupled with strong product instinct demonstrated by shipping and iterating on products. They should be comfortable navigating ambiguity, scoping problems independently, and leveraging AI tools while understanding fundamental engineering principles.

Skills: typescript, react, node, postgres, full-stack engineering, api development, orchestration, scheduling systems, hardware integration, workflow automation, data processing, ai tooling, product instinct, ambiguity management

Summary: Candidates must possess over 5 years of experience in product security, application security, or secure software engineering, coupled with a strong understanding of product architecture, APIs, and distributed systems. Essential requirements include experience performing threat modeling, assessing security risk contextually, and collaborating cross-functionally with product and engineering teams.

Skills: product security, application security, secure software engineering, threat modeling, security design reviews, risk-based security, devsecops, ci/cd, sast, dast, security tooling, vulnerability triage, secure design patterns, api security, distributed systems, cloud architecture

Summary: A Bachelor's Degree in Engineering or Materials Science (or equivalent experience) and a minimum of 3 years in Engineering, Materials Science, or Quality related roles are required for this position. Desired characteristics include demonstrated experience in manufacturing or supplier quality, strong problem-solving skills, and knowledge of Investment Casting manufacturing.

Skills: product quality engineering, investment casting, supplier quality, first article inspection, source substantiation plans, design intent verification, new product introduction, management of change, engineering drawings, supplier management, root cause analysis, corrective action, data analysis, statistical analysis, project management, technical judgment

Summary: Candidates must have 2+ years of full-time experience excelling in TypeScript and React, proficiency with SQL and relational databases, and experience with AI-native development including LLMs, prompt engineering, and RAG. They should also possess strong systems thinking regarding cloud tooling and architecture.

Skills: typescript, react, sql, relational databases, ai-native development, llms, prompt engineering, rag, systems thinking, cloud tooling, architecture

Summary: Candidates must have 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, along with production experience in TypeScript and modern web frameworks. Familiarity with LLM provider APIs, cloud infrastructure, and strong problem-solving skills are also required.

Skills: software engineering, data structures, algorithms, system design, typescript, web frameworks, llm provider apis, streaming responses, frontend, backend, cloud infrastructure, ci/cd workflows, problem solving, communication, customer first mindset

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 possess a minimum of 10+ years of hands-on expertise in Java/Kotlin, Spring Boot, and modern service-oriented architecture, coupled with strong knowledge of Kafka and event-driven patterns. Essential experience also includes scaling cloud-native platforms (AWS/Azure), proficiency with Kubernetes/Docker, and demonstrated leadership in complex delivery settings.

Skills: java, kotlin, spring boot, kafka, kubernetes, ci/cd, aws, azure, gcp, microservices, domain-driven design, clean architecture, event-driven paradigms, docker, gitops, api design

Summary: Candidates must possess over 3 years of experience as a QA Automation Engineer, proficiency in Python or JavaScript, and experience with API Automation Frameworks like Rest-assured or Pytest. Familiarity with Continuous Integration tools (Gitlab Cl), Git, Linux, and bash is required, along with professional English.

Skills: agile, test strategies, test plans, test cases, automation testing frameworks, functional tests, non-functional tests, exploratory testing, acceptance testing, python, javascript, api automation frameworks, rest-assured, pytest, gitlab cl, git

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 5 years of experience in product or application security, demonstrating strong knowledge of common vulnerabilities and secure development practices. Required hands-on experience includes using security tooling like SAST/DAST, container scanning, IaC security tools, and working within containerized/Kubernetes environments.

Skills: product security, application security, security engineering, security controls, soc 2, iso 27001, sast, dast, container scanning, iac security, threat modeling, vulnerability management, kubernetes, ci/cd integration, go, python

Summary: Candidates must have 5+ years of professional experience with a combination of Node.js/TypeScript, React (or similar), and Postgres (or similar relational database), with GraphQL experience being a plus. The role requires a collaborator who understands the 'why' behind the features and thrives on solving challenging problems.

Skills: typescript, react, node.js, graphql, postgresql, full stack development, cross-functional teamwork, code reviews, design discussions, rfcs, observability, performance tuning, data accuracy, user experience

Summary: Candidates must have 5+ years of professional software engineering experience, including 3+ years with Ruby on Rails and 3+ years building React applications with TypeScript proficiency. Experience in startup/scale-up B2B SaaS environments, comfort with ambiguity, and strong ownership are essential.

Skills: ruby on rails, react, typescript, postgresql, sidekiq, circleci, github actions, full stack development, code review, mentoring, automated testing, rspec, jest, saas

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 must possess a Bachelor of Science degree in a relevant engineering field and have 6+ years of experience in technical support or field engineering with distributed, hardware-integrated products. Essential skills include proficiency with diagnostic tools, a strong understanding of electrical fundamentals, deep knowledge of automotive/industrial electrical systems, and exceptional ability to translate complex technical concepts for diverse audiences.

Skills: hardware debugging, firmware debugging, ai-driven edge computing, root cause resolution, end-to-end debugging, telemetry analysis, post-mortem analysis, r&d collaboration, diagnostic tools, electrical fundamentals, automotive electrical systems, customer interaction, incident response, on-call support, python, sql

Summary: Candidates must have a Bachelor's degree or equivalent experience, a strong understanding of common security vulnerabilities like OWASP Top Ten, and good knowledge of Linux security technologies such as SELinux and container security. Experience with programming languages like Go, Python, or C/C++ and familiarity with container orchestration systems like Kubernetes are also required.

Skills: security architecture reviews, threat modeling, secure software development, code reviews, linux security, selinux, seccomp, c/c++, go, python, kubernetes, openshift, aws, azure, gcp, owasp top ten

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