Product Engineering Jobs with Equity ≥ 3%

Summary: Candidates should have at least 2 years of experience managing software engineers and 6 years in software product development. A strong full-stack engineering background and a passion for developing others are essential.

Skills: team leadership, product delivery, collaboration, technical excellence, software engineering, code reviews, architecture design, data analysis, continuous improvement, recruitment, onboarding, feedback, development plans, stakeholder communication, decision making, high-trust culture

Summary: Candidates should have over 3 years of experience in engineering management and expertise in recruiting talent for high-performing teams. Knowledge of AI product development and proficiency in modern programming languages is essential.

Skills: engineering management, ai, data engineering, full-stack development, agile methodologies, devops, cloud infrastructure, python, java, go, rust, typescript, kotlin, c#, recruitment, mentorship

Summary: Candidates should have at least 2 years of experience managing software engineers and 6 years of experience in software product development. A strong full-stack engineering background and a passion for developing others are essential.

Skills: team leadership, product delivery, collaboration, technical excellence, software engineering, code reviews, architecture design, continuous improvement, recruitment, feedback, data analysis, agile methodologies, problem solving, communication, mentorship, project management

Summary: Candidates should have a Bachelor's degree with 6+ years of relevant experience or a Master's degree with 4+ years of experience in managing technology or engineering projects, preferably in a regulated environment. Proficiency with standard business tools and strong understanding of engineering workflows is essential.

Skills: project leadership, stakeholder management, risk management, budget management, cross-functional collaboration, communication skills, analytical skills, data-driven decision making, design engineering, service tooling, hardware/software product development

Summary: Candidates should have over 5 years of experience in data engineering and analytics, including at least 3 years in a management role. They must possess deep knowledge of the data stack and experience in building and leading data teams.

Skills: data engineering, analytics, data governance, data infrastructure, etl pipelines, data modeling, kpi frameworks, cross-functional collaboration, team leadership, mentoring, data ecosystem, revenue visibility, operational efficiency, decision-making, data trust, problem solving

Summary: The role requires a deep ML engineering background with hands-on experience in generative diffusion models for audio/music. Proven experience in deploying ML systems into production at scale and managing engineering teams is essential.

Skills: machine learning, generative models, audio processing, pytorch, model optimization, team leadership, mentorship, cross-team collaboration, technical roadmap, real-time inference, model deployment, system design, performance management, ai capabilities, data engineering, mlops

Summary: Candidates should have proven experience as a senior engineer or engineering manager on large-scale customer-facing systems. A deep understanding of frontend and web platform fundamentals, as well as modern development technologies, is essential.

Skills: engineering management, team leadership, javascript, typescript, node.js, next.js, aws, rest, graphql, security, performance monitoring, cloud infrastructure, automated testing, code quality, agile methodologies, cross-team collaboration

Summary: Candidates should have recent experience as an Engineering Manager in a startup environment and possess hands-on technical skills. Strong communication skills and a results-driven mindset are essential, along with experience in a fast-scaling SaaS environment.

Skills: engineering management, technical leadership, saas, golang, python, node.js, ai tooling, mentoring, collaboration, communication, problem solving, hiring, cloud platform, remote team management, agile methodologies, product development

Summary: Candidates should have hands-on experience with AI coding tools and significant experience managing a team and creating technical solutions. Strong backend engineering experience and familiarity with AWS cloud environments are also required.

Skills: ai-first engineering approach, management, tech lead, backend development, node.js, aws, agency, communication

Summary: Candidates must possess over 10 years of experience in Sales Engineering or Technical Pre-Sales, including 4+ years in leadership roles, with proven success leading SE teams in high-growth B2B SaaS environments like Cloud, DevOps, or FinOps. A deep understanding of cloud infrastructure (AWS, GCP, Azure) and strong operational rigor for scaling are essential.

Skills: sales engineering leadership, technical sales scaling, go-to-market efficiency, customer engagement, platform proofing, hiring and development, revenue growth, market insight, process and tooling evolution, cross-functional collaboration, technical partnership ecosystem, cultural leadership, accountability, empathy, b2b saas, cloud infrastructure

Summary: The ideal candidate is a hands-on, innovative engineering manager with experience managing globally distributed teams and developing embedded systems, particularly connected products utilizing various wireless technologies. A BSEE or similar degree with over 10 years of management experience developing novel electronic solutions is preferred.

Skills: electrical systems engineering, product roadmaps, product life cycle management, supplier management, concept prototyping, technology implementation, ecad, schematic capture, simulation, pcb layout, system validation, embedded systems, firmware collaboration, connected products, cost optimization, performance optimization

Summary: Candidates should have 5+ years of experience as an engineering manager with a strong technical background in building distributed systems or cloud infrastructure. A proven track record of building and scaling high-performing engineering teams is essential.

Skills: engineering management, platform development, cloud infrastructure, distributed systems, devops practices, agile methodologies, team building, technical roadmap, incident response, continuous improvement, telemetry, logging, ci/cd pipelines, monitoring, cybersecurity, ai tooling

Summary: Candidates should have deep experience in software engineering and a proven track record of leading high-performance teams. The role requires a competitive mindset and the ability to thrive under pressure in fast-paced environments.

Skills: software engineering, infrastructure leadership, performance management, team leadership, operational standards, security practices, privacy-by-design, devsecops, ai-assisted development, delivery discipline, scalability, reliability, cost efficiency, modern engineering practices, product quality, execution excellence

Summary: Candidates must have 7+ years of experience in technical leadership roles and proven experience in leading IAM engineering teams across cloud environments. A strong understanding of identity management protocols and experience with self-service IAM capabilities are also required.

Skills: cybersecurity engineering, identity access management, authentication, authorization, azure, aws, gcp, iam solutions, user experience, identity security, technical leadership, agile methodologies, stakeholder engagement, problem solving, collaboration, self-service capabilities

Summary: Candidates should have deep expertise in Kubernetes and a strong background in software engineering, ideally with Go. Management experience of 3+ years leading backend teams is required, along with a builder mindset.

Skills: kubernetes mastery, production-grade engineering, management experience, cognitive flexibility, technical architecture, code standards, team leadership, hiring excellence, operational rhythm, go programming, technical oversight, mentoring, open source, ai infrastructure, startup grit

Summary: Candidates must have at least 10 years of experience in healthcare data, analytics, or related technical domains, with demonstrated experience in running RWD feasibility analyses. Strong communication skills and the ability to translate complex technical concepts for diverse audiences are essential.

Skills: healthcare data, analytics, data engineering, rwd feasibility analyses, sql, python, r, technical documentation, consultative discovery, solution design, data differentiation, technical proposals, mentoring, collaboration, communication, detail-oriented

Summary: Candidates should have deep expertise in Kubernetes and a strong background in software engineering, ideally with Go. Management experience of 3+ years leading backend teams is required.

Skills: kubernetes, go, technical leadership, people management, code standards, quality assurance, team mentoring, hiring excellence, operational rhythm, production-grade engineering, cognitive flexibility, open source, ai infrastructure, startup experience, technical architecture, problem solving

Summary: Candidates should have 8+ years of industry experience in designing and building complex systems, with at least 3 years managing engineering teams. A strong technical background in software development and proven leadership skills are essential.

Skills: leadership, mentorship, collaboration, technical excellence, product development, operational oversight, problem solving, java, spring, aws, rest apis, service-oriented architecture, scalable architectures, message queues, containerization, agile methodologies

Summary: Candidates should have 10+ years of software engineering experience, including 5 years as a backend engineer and 3+ years in a senior leadership role. A strong technical background in system architecture and data engineering is essential.

Skills: leadership, team development, process management, accountability, technical strategy, execution, cross-functional collaboration, operational excellence, agile methodologies, data engineering, devops, microservices, blockchain, problem-solving, communication, collaboration

Summary: Candidates should have 10+ years of experience in software engineering, including 5 years as a backend engineer and 3 years in a senior leadership role. A strong technical background in system architecture and experience managing teams in an agile environment are essential.

Skills: leadership, team development, process management, technical strategy, cross-functional collaboration, operational excellence, agile methodologies, data engineering, devops, software development, problem-solving, communication, collaboration, blockchain technologies, ci/cd processes, microservices

Summary: Candidates should have at least 7 years of software engineering experience and 1 year in engineering management. They must be able to balance strategic thinking with short-term planning and have experience with distributed systems.

Skills: software engineering, engineering management, distributed systems, technical leadership, recruitment, coaching, architectural decisions, operational excellence, collaboration, feedback, problem solving, blockchain, golang, ruby, docker, postgres

Summary: Candidates should have 10+ years of experience in cloud infrastructure or software development, with at least 2 years in a management role. Extensive hands-on experience with GCP, Kubernetes, and PostgreSQL in production environments is required.

Skills: cloud infrastructure, software development, management, technical leadership, gcp, kubernetes, postgresql, datadog, observability, incident response, security reviews, coaching, mentoring, onboarding, reliability practices, communication

Summary: The ideal candidate should have significant leadership experience in tech environments, particularly in Quality Engineering and Data Engineering, along with a strong grasp of modern data stacks and automated testing strategies. They should also possess experience in leading distributed teams and driving technical modernization.

Skills: engineering leadership, operations leadership, data strategy, infrastructure, automated testing, ai strategy, program management, global team leadership, stakeholder communication, change management, quality engineering, data engineering, project management, automation, ai/ml, continuous integration, data governance

Summary: Candidates should have 10 or more years of experience in software engineering and at least 4 years of experience leading other leaders. A proven track record in managing complex production systems and expertise in organizational design and performance management is essential.

Skills: software engineering, leadership, organizational design, team scaling, performance management, service reliability, operational excellence, incident management, code review, documentation, cross-functional collaboration, strategic planning, coaching, mentorship, communication, security fundamentals

Summary: Candidates must have a minimum of 5 years of software engineering experience, including at least 2 years managing engineers in a high-availability environment, with strong backend expertise in TypeScript (NestJS) and Python (Django). Proven system design skills, experience with distributed systems patterns, and demonstrated expertise in building AI agentic systems for workflow automation are essential.

Skills: technical direction, execution, scalable services, engineering standards, mentoring engineers, product delivery, typescript, nestjs, python, django, system design, observability, ai tools integration, security compliance, saas development

Summary: Candidates should have at least four years of experience supervising technical personnel and 8+ years of technical experience in substation design or related high-voltage electrical infrastructure. A bachelor's degree in electrical engineering or a related field is preferred, but an associate degree with equivalent experience will also be considered.

Skills: leadership, mentorship, project execution, quality assurance, communication, interpersonal skills, problem solving, process development, resource planning, client relationship management, technical guidance, strategic planning

Summary: Candidates should have at least 7 years of software engineering experience and 2 years of engineering management experience. A strong understanding of high-quality code and effective software engineering processes is essential, along with experience in multi-tenanted, distributed systems.

Skills: software engineering, engineering management, distributed systems, scalability, operational excellence, technical leadership, team building, collaboration, recruitment, architectural decisions, high-quality code, engineering processes, feedback, problem solving, crypto, blockchain

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 6+ years of hands-on software engineering experience. Additionally, 4+ years of experience leading engineering teams in an agile/scrum environment is required.

Skills: engineering management, agile methodologies, project management, software development, team leadership, collaboration, problem solving, budgeting, communication, continuous improvement, technical excellence, mentorship, cloud-native architectures, saas, fintech, ai

Summary: Candidates must possess strong technical expertise, including knowledge of software applications, Internet protocols, troubleshooting, and scripting automation, particularly in API integrations. Essential soft skills include excellent communication for explaining technical concepts, a customer-focused passion, detail orientation, and the ability to thrive in a dynamic, collaborative, and remote environment.

Skills: technical troubleshooting, integration expertise, customer experience, collaboration with engineering, documentation, continuous improvement, support enablement, api inquiries, bug reports, internet protocols, troubleshooting, automation via scripting, communication skills, detail-oriented, customer-focused, team collaboration

Summary: Candidates should have deep expertise in applied cryptography and a proven track record in architecting complex technical strategies. Experience in authoring and governing technical security policies, especially related to compliance standards, is also required.

Skills: applied cryptography, pki, tls, digital signatures, openssl, nss, gnutls, post-quantum cryptography, technical strategy, security policy, compliance standards, communication, influence, cryptographic api, risk management, cryptographic libraries, cryptographic compliance

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and at least 5-7 years of relevant work experience. Strong leadership, communication skills, and knowledge of cloud infrastructure and data processes are also required.

Skills: leadership, data engineering, cloud infrastructure, data modeling, etl processes, sql, project management, troubleshooting, problem solving, communication, collaboration, software development, mentoring, automation, agile methodologies, technical escalation

Summary: Candidates must have 7+ years in software engineering, including at least 3 years operating production ML/AI systems, and 2+ years managing senior engineering teams on complex projects. Essential technical depth includes experience with LLMs/GenAI in production, strong product intuition, and a track record of building healthy, diverse engineering teams.

Skills: ai, ml, genai, llms, technical direction, roadmap definition, architectural decisions, delivery ownership, cross-functional partnership, hiring, mentorship, production ml/ai systems, platform engineering, cost optimization, evaluation, reliability

Summary: Candidates should be currently enrolled as seniors in a bachelor's degree program in computer science or a related discipline, with a preferred GPA of 3.0 or higher. Proficiency in object-oriented programming, particularly in C#, and strong analytical skills are essential.

Skills: c#, object-oriented programming, analytical skills, problem-solving, self-motivation, agile methodologies, scrum, webapi, wcf, asp.net, asp.net core, cloud computing, aws, software development, code quality, collaboration

Summary: Candidates must have over 10 years of deeply technical engineering experience, including 3-4 years managing and coaching engineers, with a strong passion for Kubernetes and distributed systems designed for high scale. Essential technical skills include hands-on experience with backend languages like Go, Rust, or Python, and the ability to own complex projects from planning to completion.

Skills: software engineering leadership, mentoring, coaching, architectural decisions, design reviews, distributed backend services, kubernetes-native ecosystem, system reliability, performance improvement, cross-functional collaboration, go, rust, python, project ownership, api design, high-volume systems

Summary: Candidates need 6+ years of product-focused fullstack or backend engineering experience, including 2+ years leading engineers with ownership over delivery and team health. Essential qualifications include proven ability to design scalable backend platforms, strong experience with modern frameworks (React, Python, Node, Go), excellent technical judgment, and a strong product instinct.

Skills: end-to-end delivery, technical design, fullstack engineering team management, system architecture, ai-powered systems, llm evaluation, product vision translation, code reviews, mentorship, product partnership, engineering culture, react, python, node, go, product instinct

Summary: Candidates should have 5+ years of experience as an engineering manager with a strong technical background in building complex software systems. A proven track record in hiring and developing high-performing teams, along with excellent communication skills, is essential.

Skills: engineering management, ai, software development, team building, agile methodologies, devops, continuous delivery, technical roadmap, performance management, coaching, mentorship, incident response, operational excellence, customer outcomes, product quality, cybersecurity

Summary: A degree in Computer Science or Telecommunications Engineering is preferred, or a proven track record in software development. Candidates should demonstrate exceptional ability and a builder mindset, with fluent English communication skills.

Skills: software development, golang, integration, problem solving, research, communication, customer support, product management, ambiguity handling, team collaboration, open source contributions, hackathons, backend development, api management, technical documentation, project management

Summary: The ideal candidate should have strong UI/UX instincts and be able to build interactive prototypes using various tools. They should also have experience with AI tools and workflows to quickly ship product prototypes.

Skills: product design, ui/ux, ai tools, prototyping, coding, visuals, systems thinking, interactive prototypes, ai workflows, figma, gen-ai, session review, coaching, frontend development, user retention, product development

Summary: Candidates must have over 5 years of experience managing engineering teams covering frontend, backend, and platform roles, alongside over 7 years developing enterprise software using technologies like Golang, Kubernetes, and Azure. Expertise in scalable, concurrent systems, distributed concepts, SaaS architecture, and cloud database/storage systems is required.

Skills: frontend engineering, backend engineering, platform engineering, react, golang, kubernetes, azure, saas architecture, distributed systems, agile ceremonies, roadmap planning, risk management, team management, on-call rotation management, data resilience, cloud-native technologies

Summary: Candidates should have deep architectural experience in large-scale distributed systems and be comfortable with scaling backend infrastructure. Experience in building production services in Python and a strong product mindset are also essential.

Skills: software architecture, engineering, cloud-native architecture, infrastructure as code, ci/cd pipelines, security best practices, observability, ai platform engineering, python, fastapi, go, react, next.js, kubernetes, gcp, azure

Summary: Candidates should have deep architectural experience in large-scale distributed systems and a strong product mindset. Experience in scaling backend infrastructure and building production services in Python is essential.

Skills: software architecture, engineering, cloud-native architecture, ai platform engineering, technical leadership, python, go, react, next.js, database management, gcp, azure, kubernetes, ci/cd, compliance, financial crime

Summary: Candidates need a Bachelor’s Degree and a minimum of 1 year of progressive experience, including professional or internship experience focused on AI, low-code platforms, or related technology/digital development. Essential abilities include strong communication, a creative and curious mindset, critical thinking, adaptability, and the capacity to work both independently and collaboratively.

Skills: ai technologies, low-code platforms, digital development, communication skills, critical thinking, prototyping, client solutions, teamwork, organization, attention to detail, emerging technologies, strategy sessions, user-centric solutions, digital experiences, technical explanation, adaptability

Summary: Candidates should have 8+ years of industry experience with at least 3 years in a leadership role within a data-driven environment. Experience with a variety of technologies and methodologies, including Agile, is required.

Skills: software engineering, agile, java, go, react, aws, ci/cd, automated testing, mysql, saas, real-time data streaming, apache flink, kubernetes, scrum, kanban

Summary: Candidates should have over 12 years of software engineering experience, with at least 5 years in management roles. A deep understanding of distributed systems and the ability to manage dependencies across teams is essential.

Skills: cross-organizational dependency management, software engineering, team management, platform teams, distributed systems, high-availability systems, recruitment, stakeholder alignment, e-commerce, payments, checkout systems, mobile development, web development, re-architecture, experimentation, backend frameworks

Summary: Candidates should have 3+ years of experience building and shipping production mobile apps with React Native and proficiency in TypeScript or modern JavaScript. Experience with native iOS/Android code and strong debugging skills are also required.

Skills: react native, typescript, javascript, mobile architecture, ios, android, swift, objective-c, kotlin, java, debugging, production monitoring, ui design, feature flags, native modules, saas

Summary: Candidates should have a strong technical and delivery background, with experience in managing teams and guiding them towards achieving outcomes. They should also be comfortable with ambiguity and have a focus on high-impact results.

Skills: technical leadership, people management, product delivery, coaching, collaboration, communication, problem solving, team motivation, engineering excellence, stakeholder management

Summary: Candidates must possess a Bachelor's or Master's in Computer Science or a related field, along with over 8 years of experience leading large, cross-functional engineering teams in a remote setting. Essential technical background includes software engineering, AI, solutions architecture, and hands-on experience with AWS, microservices, and serverless technologies.

Skills: engineering leadership, stop loss solution technology, technical strategy definition, stakeholder partnership, devsecops mindset, talent coaching and mentoring, ai-enabled products, scalable solutions delivery, vendor management, technical debt reduction, user-focused design, agile methodologies, systems design, aws, microservices, serverless

Summary: Candidates must be based in Spain and fluent in both Spanish and English, with proficiency in a third language being advantageous. Essential requirements include a strong existing network within the Construction, Engineering, or Energy industries and proven experience in business development or B2B sales, coupled with a proactive and entrepreneurial approach.

Skills: business development, client relationship building, sales pipeline management, client acquisition, b2b sales, proactive mindset, entrepreneurial mindset, spanish fluency, english fluency

Summary: Candidates should have a BS/BA degree in a technical field and over 10 years of software engineering experience, including 5 years in direct people management. A strong background in Agile methodologies and backend technologies is essential.

Skills: leadership, communication, strategic thinking, agile, scrum, backend technologies, database systems, cloud infrastructure, containerization, ai coding assistants, llm apis, project management, performance management, team development, conflict resolution, data-driven decision making

Summary: Candidates must possess over 10 years of experience, including cooperation with customers and technology partners, and experience selling Enterprise Hardware, Software, Cloud Platforms, or Virtual Infrastructure. Excellent presentation, communication, and relationship-building skills are essential, along with the ability to leverage AI tools.

Skills: team leadership, technical expertise, customer opportunities, sales assistance, technical assistance, technology articulation, product integration, proposal development, secondary storage strategy, product demonstrations, workshops, proof of concepts, product management collaboration, project management, post-sales technical support, ai tool utilization

Summary: Candidates should have a strong technical and delivery background, with experience managing at least 2-3 Engineering Managers and leading organizations of around 20 engineers. Previous experience as a software engineer is also required.

Skills: delivery and execution, engineering excellence, people leadership, technical influence, stakeholder relationships, organisational impact

Summary: Candidates should have strong management skills, problem-solving abilities, and adaptability to technical changes. Familiarity with security compliance frameworks and experience in software deployment are also required.

Skills: team lead, management skills, problem solving, technical curiosity, customer service, technical writing, configuration management, security compliance, software deployment, web-based applications, vmware, windows server, active directory, dns management, automation, architecture design

Summary: Candidates should have 10+ years of software or platform engineering experience and 3+ years managing a team. Deep expertise in CI/CD systems, observability stacks, and Kubernetes is required.

Skills: team leadership, people management, platform engineering, technical execution, ci/cd, infrastructure automation, kubernetes, cloud, security, observability, devops, communication, collaboration, incident management, sre principles, developer experience

Summary: Candidates should have a bachelor's degree or equivalent experience in Computer Science or a related field, along with strong systems administration experience in cloud and on-prem environments. They must also have experience managing technical project teams and a self-driven approach to learning new technologies.

Skills: cloud engineering, devops, observability, sre, linux, unix, yaml, json, python, powershell, technical management, project management, problem-solving, automation, client engagement, mentoring

Summary: Candidates must possess a Bachelor’s degree in Engineering or a related STEM field, along with a minimum of 10 years of relevant experience, or a Master's degree plus 8 years of experience. A preferred Department of Defense Top Secret security clearance is required, and U.S. citizenship is mandatory for this position.

Skills: organizational skills, time management skills, communication skills, leadership skills, team building skills, motivation skills, conflict resolution skills, negotiation skills, problem-solving skills, project management, advanced technologies application, engineering processes, microsoft office suite, microsoft project, project life cycles, earned value management

Summary: Candidates should have proven experience managing and mentoring game development engineers, with a deep understanding of Unreal Engine and development processes. Expertise in at least one engineering discipline and successful game shipping experience is required.

Skills: game development, unreal engine, gameplay engineering, backend engineering, performance management, team leadership, communication, problem solving, collaboration, feedback, career development, game stability, production practices, hiring, inclusive culture, technical pipeline

Summary: Candidates should have over 7 years of software development experience and at least 1 year in a management role. Experience in building product growth funnels and collaborating with product and design teams is also required.

Skills: software development, engineering management, team leadership, collaboration, product growth, experimentation, data analysis, technical architecture, coaching, process improvement, java, gcp, react native

Summary: Candidates must have a bachelor's degree in a science discipline and at least 12 years of experience in a QA function within the pharmaceutical/biotech industry, including 8 years in a supervisory role. Deep technical expertise in GMP-compliant manufacturing environments and a thorough understanding of global regulatory requirements are essential.

Skills: gmp compliance, quality risk management, continuous improvement, data integrity, corrective and preventive action, lean, six sigma, root cause analysis, manufacturing oversight, regulatory inspections, cross-functional collaboration, risk-based monitoring, talent development, communication skills, organizational skills, interpersonal skills

Summary: The candidate must have at least 3 years of leadership experience in a technical presales role and a bachelor's degree in a relevant field. Experience in cloud and network infrastructure with hardware/software exposure is required.

Skills: leadership, technical presales, cloud infrastructure, sales engineering, coaching, mentoring, problem solving, cross-functional collaboration, team development, technical escalations, program development, process improvement, communication, initiative, entrepreneurial mindset, customer engagement

Summary: Candidates must possess 8+ years in software engineering, including at least 3 years in engineering leadership roles, with a proven ability to scale teams from 5-10 to 20-50+ engineers. A strong background in modern web application development, cloud infrastructure, and successfully implementing engineering standards from the ground up is required.

Skills: team leadership, mentoring, talent recruitment, process scaling, product development, sprint planning, resource allocation, quality assurance, ci/cd pipelines, code quality standards, system design, technical strategy, budget management, saas products, cloud infrastructure, remote work

Summary: Candidates must have a founder-level ownership mindset and senior, hands-on iOS engineering ability with at least 7 years of experience in iOS development. Experience in high-intensity environments and mobile leadership is also required.

Skills: ios development, swift, swiftui, uikit, mobile leadership, performance optimization, ehr integration, technical excellence, observability, automated testing, cross-functional coordination, architecture design, quality assurance, release management, team management, problem solving

Summary: Candidates should have 5 to 8+ years of experience in data engineering or related fields, with at least 3 years in a leadership role. Direct experience with modern data stacks and a track record of delivering complex data platform initiatives is essential.

Skills: data engineering, analytics engineering, platform engineering, team leadership, technical design, architecture decisions, code quality, devops, gitops, production reliability, capacity planning, cross-functional coordination, incident management, monitoring, alerting, incident response

Summary: Candidates should have 5-8+ years of experience in data engineering or related fields, with at least 3 years in a leadership role. Direct experience with modern data stacks and a track record of delivering complex data platform initiatives is essential.

Skills: data engineering, analytics engineering, platform engineering, team leadership, technical design, architecture decisions, code quality, devops, gitops, production reliability, capacity planning, cross-functional coordination, incident management, monitoring, alerting, incident response

Summary: Candidates should have 5-8 years of experience in data engineering or related fields, with at least 3 years in a leadership role. A direct experience with modern data stacks and a track record of delivering complex data platform initiatives is essential.

Skills: data engineering, analytics engineering, platform engineering, team leadership, technical quality, capacity planning, architecture decisions, code quality, devops, gitops, production reliability, cross-functional coordination, monitoring, incident management, cloud data warehouses, orchestration tools

Summary: Candidates must possess 8+ years in software engineering, including at least 3 years in engineering leadership, with a proven ability to scale teams from 5-10 up to 20-50+ engineers. Strong experience managing managers, delivering complex SaaS products in fast-paced startups, and proficiency in modern web app development and cloud infrastructure are essential.

Skills: team leadership, mentoring, talent recruitment, process scaling, product development, sprint planning, resource allocation, quality assurance, ci/cd pipelines, code quality standards, system design, technical strategy, budget management, saas products, cloud infrastructure, remote work

Summary: Candidates should have experience leading high-performing engineering teams and a strong product acumen with a customer-focused mindset. They must be fluent in modern development practices and possess excellent communication and stakeholder management skills.

Skills: engineering management, team leadership, product understanding, cross-functional collaboration, technical excellence, coaching, process improvement, cloud platforms, ci/cd, infrastructure automation, system reliability, communication skills, stakeholder management, startup experience, problem solving, accountability

Summary: Candidates must possess 8+ years in software engineering, including at least 3 years in engineering leadership, with a proven ability to scale teams from small to large sizes (5-10 to 20-50+). Strong experience managing managers, delivering complex SaaS products in fast-paced startups, and proficiency in modern web app development and cloud infrastructure are essential.

Skills: team leadership, mentoring, recruiting, onboarding, performance reviews, product roadmap translation, sprint planning, resource allocation, quality assurance, ci/cd pipelines, technical strategy, budget management, kpi measurement, saas product delivery, cloud infrastructure, system design

Summary: Candidates should have 5+ years of experience in software development and 2+ years in a technical leadership role. A strong focus on customer and business outcomes, along with excellent communication and people leadership skills, is essential.

Skills: software development, technical leadership, team management, backend systems, typescript, node.js, problem solving, collaboration, communication, mentoring, coaching, technical direction, architectural decisions, user experience, business acumen, inclusive culture

Summary: Candidates must possess a Bachelor's degree in a relevant field or equivalent experience, with over 10 years of experience including 5+ years in project/program management, preferably in a technology product company. Required capabilities include strong experience with Agile scrum, Microsoft technologies, cloud hosting (AWS/Azure/GCP), and demonstrated ability to manage complex dependencies and drive process change.

Skills: agile processes, project management life cycle, software development life cycle, product commercialization, risk mitigation, data and ai initiatives, pmo policies, cloud management, on-prem engineering program management, stakeholder management, development process, talent retention, budget management, resource monitoring, process enforcement, cross-functional coordination

Summary: Candidates must possess a Bachelor’s degree in a related field or equivalent experience, along with 5+ years of engineering experience, ideally full stack. Required technical proficiency includes React/Next.js, TypeScript, APIs, system architecture, A/B testing, and experience with third-party communication tools.

Skills: react, next.js, typescript, apis, system architecture, a/b testing, experimentation frameworks, behavioral analytics, llm integration, postgresql, pwas, graphql, rest, event-driven systems, user engagement, full stack

Summary: Candidates should have over 10 years of industry experience in a pre-sales or technical consulting role, with at least 4 years in people management. A strong technical authority in data-related domains and outstanding presentation skills are also required.

Skills: team leadership, technical strategy, sales strategy, data warehousing, genai, machine learning, data engineering, data analytics, cloud computing, presentation skills, architectural discussions, mentoring, collaboration, community building, customer engagement, technical consulting

Summary: Candidates should have a bachelor's degree in a related field and at least 3 years of professional experience in software engineering or related roles. Familiarity with cloud services, CI/CD tools, and containerization technologies is essential.

Skills: software engineering, devops, cloud services, aws, azure, ci/cd, infrastructure as code, terraform, docker, kubernetes, python, javascript, typescript, collaboration, automation, observability

Summary: Candidates should possess a bachelor's degree or equivalent experience along with 6-8 years of technical project management experience. A Project Management Certification (PMP, CSM, CAPM) is strongly preferred.

Skills: project management, agile development, communication skills, problem solving, team collaboration, budget management, technical guidance, scope management, stakeholder coordination, research skills, time management, adaptability, leadership, analytical skills, prioritization, training

Summary: Candidates must have a Bachelor's degree in a related field and at least 10 years of professional software experience, including 3 years managing engineering teams. Strong hands-on experience with modern data platform tooling and knowledge of SQL, Python, and Typescript is required.

Skills: software engineering, data platforms, microservices architecture, generative ai, data analytics, sql, python, typescript, etl processes, data modeling, apache airflow, aws glue, aws redshift, aws sagemaker, aws dynamo, aws quick sight

Summary: Candidates must have a minimum of four years of college-level education and 3–5 years of relevant experience, demonstrating proficiency in Python for data processing and strong experience with Microsoft SQL Server. Required expertise includes ETL workflow design, cloud application development, and data governance knowledge.

Skills: python, etl development, sql, data ingestion, performance optimization, cloud-based data processing, data transformation, sql stored procedures, data analysis, reporting, automation, error handling, logging, data workflow documentation, data governance, git

Summary: Candidates must have a Bachelor's degree in Computer Science or related field, or equivalent experience, along with 5+ years in software engineering and 2+ years in a technical leadership role. Strong hands-on experience with Python/Django and JavaScript/React is required.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, datadog, third-party integrations, system monitoring, incident response, technical planning, vendor management, mentoring

Summary: Candidates must have a Bachelor's degree in Computer Science or related field, or equivalent experience, along with 5+ years in software engineering, including 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django and JavaScript/React is required, as is experience operating production systems using Datadog.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, production code ownership, technical planning, vendor integrations, system monitoring, incident response, mentoring, stakeholder partnership

Summary: Candidates should have a bachelor's degree in Computer Science or a related field, along with 5+ years of professional software engineering experience and 2+ years in a technical leadership role. Strong hands-on experience with Python, Django, JavaScript, and React is required, along with experience in monitoring and operating production systems.

Skills: python, django, javascript, react, software engineering, technical leadership, production systems, system monitoring, incident response, collaboration, problem-solving, vendor management, team management, code review, technical planning, integration

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or equivalent experience, along with 5+ years in professional software engineering, including production systems support. A minimum of 2 years in a technical leadership role is required, alongside strong hands-on experience with Python/Django for backend and JavaScript/React for frontend development.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, datadog, third-party integrations, system monitoring, incident response, technical planning, mentoring, stakeholder partnership

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or equivalent experience, along with 5+ years in professional software engineering, including production system support, and 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django for backend and JavaScript/React for frontend development is required, as is experience with system monitoring tools like Datadog.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, system monitoring, third-party integrations, vendor management, incident response, technical planning, mentoring, datadog

Summary: Candidates must possess a Bachelor's degree or equivalent experience, including over 10 years in large-scale software product engineering and at least 2 years in software management, mentoring effective teams. Proven ability to define short and long-term strategy for scalability and communicate effectively across all organizational levels 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: Successful applicants should have at least 8+ years of experience in designing and developing robust systems and influencing multiple teams. Experience in regulated domains like Payroll or Taxes is preferred, along with strong communication and mentoring skills.

Skills: ruby, rails, typescript, react, distributed systems, system design, compliance, payroll, taxes, mentoring, ai, automation, documentation, collaboration, problem solving, software development

Summary: The ideal candidate will have proven experience managing Delivery and Programme Managers in a scaling environment and a strong belief in team ownership of delivery. They should also possess strong analytical skills and be technically fluent to understand product complexities.

Skills: delivery management, project management, programme management, data analysis, team leadership, portfolio management, agile methodologies, jira configuration, risk management, stakeholder engagement, process improvement, cross-team coordination, operational leadership, budget management, technical understanding, outcome focused

Summary: Candidates should have 7+ years of software engineering experience, including at least 3 years in a management role. A bachelor's degree in a related field is preferred, along with deep expertise in SCRUM and Agile methodologies.

Skills: team leadership, scrum, agile, project execution, contractor management, safety compliance, rtos, embedded systems, kernel-level development, documentation, performance management, resource allocation, risk management, stakeholder communication, certification, quality assurance

Summary: Candidates must have at least 5 years of cloud software development experience and a Bachelor's degree in a relevant engineering or computer science field. Essential technical expertise includes strong experience with C#/.NET, knowledge of Microsoft Azure, and experience building large-scale SaaS solutions using microservices.

Skills: c#, .net platform, microsoft azure, saas solutions, microservices, openid connect, oauth 2.0, iam, docker, kubernetes, terraform, pulumi, infrastructure as code, ci/cd, devops, automated testing

Summary: Candidates should have 8+ years of experience in Technical Support or a related role, including prior management experience. Strong analytical skills and the ability to communicate technical concepts clearly are essential.

Skills: technical support, support engineering, people management, technical escalations, problem-solving, root-cause analysis, saas environment, cross-functional collaboration, customer-focused, process improvement, talent development, google suite, salesforce, zendesk, jira, incident management

Summary: Candidates should have 4+ years of experience in building frontend and backend systems, particularly for consumer-facing applications. A strong technical background in distributed systems and proficiency in object-oriented programming languages is essential.

Skills: frontend development, backend development, distributed systems, event-driven architecture, object-oriented programming, relational databases, apis, caching, observability, reliability, ai tools, communication skills, product sense, entrepreneurial mindset, scrappy execution, agentic systems

Summary: Candidates need 3 to 8 years of experience in product engineering or software development with a proven track record of shipping end-to-end product solutions in fast-paced environments. Required capabilities include a strong ability to build functional software using AI tools, end-to-end system reasoning, and strong debugging skills.

Skills: ai-first product building, rapid prototyping, ai agents, problem analysis, solution design, customer demos, continuous iteration, system reasoning, debugging, problem solving, ai system behavior, product engineering, technical delivery, llms, copilots, automation workflows

Summary: Candidates must have proven experience as an Engineering Manager or Tech Lead with a strong technical background in Python, React, Kubernetes, and cloud infrastructure, including leading modernization initiatives. Excellent people leadership skills are required for mentoring and growing engineering teams, alongside strong collaboration skills for stakeholder alignment.

Skills: engineering manager, tech lead, python, react, kubernetes, cloud infrastructure, modernization initiatives, people leadership, mentoring, roadmap execution, technical excellence, ci/cd, observability, recruiting, team culture, technical debt management

Summary: Candidates should have experience building and deploying AI applications in production and strong proficiency in Python. Familiarity with AI frameworks and a passion for using AI to improve economic opportunities for hourly workers are also important.

Skills: python, ai applications, ai frameworks, apis, ai infrastructure optimization, llms, user-centricity, team collaboration

Summary: Candidates should be proficient in TypeScript, React, Next.js, and Tailwind, and have experience working with LLMs. Additionally, the ability to write SQL queries and a focus on design and usability are important.

Skills: typescript, react, next.js, tailwind, llms, sql, design, usability, performance

Summary: You should have experience building and shipping backend systems in Rust and be comfortable with async Rust and web frameworks. Strong fundamentals in system design and experience with PostgreSQL are also required.

Skills: rust, api design, database schema, deployment, system design, postgresql, async rust, web frameworks, connection pooling, caching strategies, query optimization, observability, collaboration, clickhouse, redis, kafka

Summary: Candidates should have 5+ years of software development experience and a background in crafting polished UI/UX and API services. They should be intellectually curious, independently driven, and possess strong communication skills.

Skills: software development, ui/ux design, api services, developer experience, customer feedback, collaboration, problem solving, typescript, react, postgres, b2b saas, developer tools, emotional intelligence, communication skills, growth mindset, intellectual curiosity

Summary: Candidates should have over 10 years of experience in building complex distributed systems and a strong foundation in computer science. Proficiency in Scala or Java and experience with data-intensive systems are essential.

Skills: technical leadership, distributed systems, backend platforms, scala, java, python, rust, c#, data-intensive systems, real-time processing, sql, machine learning, data mining, architectural direction, software development, mentoring

Summary: Candidates must possess over 10 years of experience spanning both frontend and backend programming, with deep expertise in Rust alongside experience in Javascript, Typescript, and another primary backend language like Java, Scala, or Python. A Bachelor's or Master's in Computer Science or equivalent experience is also required.

Skills: rust, fullstack engineering, application design, system architecture, javascript, typescript, java, scala, python, code quality, testing, critical thinking, problem solving, collaboration, ai, data systems

Summary: Candidates must possess over 10 years of experience spanning both frontend and backend programming, with expert-level proficiency in Rust being essential. Additional required experience includes proficiency in Java, TypeScript, and JavaScript, along with strong critical thinking and collaborative problem-solving skills in a high-growth environment.

Skills: rust, backend programming, application design, system architecture, team ownership, ai, data systems, frontend programming, java, typescript, javascript, scala, testing, critical thinking, problem solving, collaboration

Summary: Candidates must be full-stack engineers proficient in both backend (Ruby on Rails preferred, or Python/Node) and frontend (React/TypeScript) technologies, with at least four years of experience building production web applications. Direct technical experience working with customers, such as in customer engineering or solutions engineering roles, is also required.

Skills: full-stack engineering, backend development, frontend development, ruby on rails, python, node, react, typescript, production web applications, customer engineering, solutions engineering, support engineering, technical escalations, ai tools development, solution architecture, customer interaction

Summary: Candidates must possess strong working knowledge of React, be comfortable consuming APIs, and adept at handling complex UI state independently. Familiarity with Git and modern frontend workflows is also required.

Skills: react, frontend engineering, ui development, api consumption, state management, git, product engineering, vite, tailwind, drag-and-drop uis, data-driven applications

Summary: Candidates should have 5+ years of product management experience and a strong technical background with hands-on coding experience. Experience with open source communities and a deep understanding of software development practices are also required.

Skills: product management, technical background, coding experience, developer tools, apis, infrastructure products, open source communities, software development practices, analytical skills, problem-solving, communication, data-driven decision making, llms, ai agents, ai-powered developer tools, open-source software

Summary: The ideal candidate should have at least 2 years of experience leading a team of software engineers and strong proficiency in modern JavaScript and TypeScript. Experience with scalable UI applications, APIs, and data visualization is also required.

Skills: software engineering, team leadership, javascript, typescript, node.js, nestjs, react, redux, api development, data visualization, sql, cloud technologies, aws, kubernetes, terraform, cryptocurrency, blockchain

Summary: Candidates must have technical fluency and a strong understanding of market personas, particularly in demand generation and RevOps. Comfort on camera and the ability to create engaging content are essential.

Skills: technical fluency, market understanding, video demos, implementation guides, proof-of-concept flows, content creation, self-sufficient, fast learner

Summary: Candidates must have at least two years of people management experience, a minimum of five years of engineering experience, and at least two years of experience with the primary technologies listed. The role requires proficiency in .NET, C#, React, legacy Angular/AngularJS, Microsoft SQL Server 2017+, and Azure SQL.

Skills: .net, c#, react, angularjs, sql server, azure sql, people management, scrum, qa analysis, tech lead

Summary: A bachelor's degree in Computer Science or related field is preferred, along with 3-5 years of experience in a software engineering leadership role. Strong technical background in software development and proficiency in programming languages such as Java, Python, or Node.js is required.

Skills: engineering leadership, software delivery, technical excellence, agile methodologies, devops practices, ci/cd pipelines, communication skills, team motivation, cybersecurity, performance management, career development, collaboration, continuous improvement, programming, problem solving, data security

Summary: Candidates must be technical with a minimum of 3 years of experience in engineering leadership and a proven track record of managing high-performing teams through ambiguity and scale. Strong verbal and written communication skills are essential, along with comfort in greenfield environments and experience running high-scale production systems.

Skills: engineering leadership, team development, planning, execution, hiring process definition, team structure definition, process building, culture building, technical skills, communication, high-performing teams, ambiguity management, scale management, coding

Summary: A bachelor's degree in Computer Science or related field is preferred, along with 3-5 years of experience in a software engineering leadership role. Strong technical background and expertise in programming languages are essential.

Skills: engineering leadership, software delivery, technical planning, agile methodologies, devops practices, ci/cd pipelines, communication skills, team motivation, cybersecurity, data security, performance management, career development, onboarding, continuous improvement, programming languages, software development

Summary: Candidates must have at least 2 years of people management experience and 5 years of engineering experience. Additionally, at least 2 years of experience with the primary technologies is required.

Skills: people management, .net, c#, react, angular, angularjs, microsoft sql server, azure sql

Summary: Candidates should have 6+ years of software development experience, including 2+ years in an engineering leadership role. A Bachelor's or Master's degree in Computer Science or a related field is required, along with experience in API design and coaching engineers.

Skills: python, agile, software development, api design, data integration, team leadership, architectural design, testing strategies, event-driven architectures, real estate domain knowledge, data science, collaboration, technical debt management, continuous improvement, mentoring, problem solving

Summary: The ideal candidate should be an excellent leader and engineer, with experience in a regulated industry and a passion for creating great developer experiences. Strong communication skills and the ability to thrive in a fast-paced start-up environment are also essential.

Skills: leadership, engineering, project management, mentoring, coding, code review, ai assisted development, software quality, developer experience, communication, fast-paced environment, regulated industry, process design, software delivery, team growth, technical standards

Summary: Candidates should have 3-5+ years of experience managing engineering teams and 6+ years of experience leading technical projects. Strong communication skills and the ability to design scalable software architectures are essential.

Skills: technical leadership, people management, project management, software architecture, code reviews, mentorship, agile methodologies, team building, communication, collaboration, product roadmapping, risk management, performance reviews, career development, open source, developer tools

Summary: Candidates should have over 10 years of experience in professional services delivery, including technical leadership roles. Proficiency in application security practices and modern programming languages is essential, along with excellent communication skills.

Skills: application security, technical leadership, client engagement, team leadership, business growth, service innovation, ai integration, problem solving, project management, secure code reviews, dynamic application testing, threat modeling, cloud native assessments, programming languages, interpersonal skills, research contributions

Summary: Candidates should have over 3 years of engineering leadership experience and 5 years of experience building complex applications. Strong communication skills and the ability to coach engineers are essential.

Skills: engineering leadership, software development, team management, technical leadership, cross-functional collaboration, python, typescript, django, node.js, mysql, postgres, aws, gcp, ai tools, code quality, performance improvement

Summary: Hands-on Head of Engineering leading hiring, architecture, and delivery; hands-on coding daily; tech stack includes TypeScript, React, and Go; scales team, sets objectives, and ships reliable software.

Skills: typescript, react, next.js, go, rust, solana, react native

Summary: Demonstrates a strong growth mindset and experience in building and leading SaaS systems. Requires strong mentoring and coaching skills, with the ability to provide constructive feedback and foster a healthy engineering culture.

Skills: saas development, ci/cd, cloud infrastructure, containerized environments, python, django, fastapi, flask, sqlalchemy, technical leadership, product delivery, team leadership, mentoring, coaching, conflict mediation, generative engineering culture

Summary: 10+ years of experience leading platform, infrastructure, or reliability teams in a scaling startup environment is required. A strong understanding of cloud-native infrastructure, Kubernetes, CI/CD, and modern DevOps practices is essential.

Skills: platform strategy, mlops, sre, cloud-native infrastructure, kubernetes, ci/cd, devops practices, machine learning systems, people leadership, communication skills, data products, geospatial data, image processing, mapping technology

Summary: Candidates must have a proven track record managing large engineering teams and experience with budget responsibility. A strong background in modern software development practices and cloud technologies is essential, along with the ability to connect engineering work to business outcomes.

Skills: technical leadership, architecture, business ownership, financial accountability, people management, engineering excellence, quality, cross-functional partnership, talent strategy, team building, cloud technologies, microservices, devops, budget management, performance optimization, agile methodologies

Summary: Candidates should have 6+ years of software engineering experience and 4+ years of managing technical teams. A BS or higher in Computer Science or a related field is required, along with a proven track record of launching complex products.

Skills: software engineering, team management, product management, technical leadership, architecture design, code reviews, quality assurance, incident management, ai integration, user experience, agile methodologies, recruitment, cross-functional collaboration, process design, scalability, resiliency

Summary: Candidates should have a bachelor's degree in Mechanical Engineering or equivalent, with at least 3 years of hands-on experience in developing reliable complex systems. A strong foundation in mechanical design, troubleshooting, and familiarity with manufacturing processes is essential.

Skills: mechanical design, product reliability, root-cause analysis, 3d cad, dfm, dfa, injection molding, cnc machining, collaboration, continuous improvement, testing, manufacturability, electromechanical systems, quality engineering, prototyping, failure analysis

Summary: Candidates should have 7+ years of experience in building production software and a strong background in interaction design and usability. A degree in Computer Science, Human-Computer Interaction, Design Engineering, or a related field is preferred.

Skills: software engineering, interaction design, usability, product quality, client-side engineering, ai workflows, human-computer interaction, prototyping, collaboration, system design, data-driven insights, web development, mobile development, agile methodologies, debugging, maintenance

Summary: Candidates should have 7+ years of experience in building production software with a focus on interaction design and usability. A degree in Computer Science, Human-Computer Interaction, or a related field is preferred, along with strong client-side engineering skills.

Skills: software engineering, interaction design, usability, product quality, client-side engineering, ai workflows, human-computer interaction, prototyping, collaboration, system design, data-driven insights, web development, mobile development, agile methodologies, debugging, maintainability

Summary: Candidates should have over 8 years of software or infrastructure engineering experience, including 2 years in a management role. Experience with production database platforms and cloud providers is essential.

Skills: software engineering, database management, cloud infrastructure, automation, incident response, security, cost optimization, observability, performance tuning, disaster recovery, team leadership, cross-functional collaboration, infrastructure as code, kubernetes, postgresql, mysql

Summary: Candidates must have 10+ years of engineering experience, including 5+ years in a senior leadership role, with expertise in software engineering principles and cloud infrastructure. A Bachelor's or Master's degree in Computer Science or a related field is required.

Skills: engineering management, cloud infrastructure, devops, apis, microservices, agile methodologies, system reliability engineering, machine learning, edge computing, client retention, technical discussions, resource management, innovation, collaboration, communication, problem solving

Summary: Proven experience leading product engineering teams in a consumer-facing environment is essential. A strong technical foundation in modern web development and a collaborative leadership style are also required.

Skills: leadership, engineering management, product development, web development, typescript, react, graphql, aws, user experience, performance optimization, collaboration, communication, ai integration, team building, strategic planning, ambiguity navigation

Summary: Candidates should have 10+ years of experience in data engineering or related fields, with strong technical leadership skills. Proficiency in Python, SQL, and experience with cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, mentoring, architecture, analytics engineering, data systems, team leadership, product strategy, customer impact

Summary: Candidates should have over 8 years of experience in SRE or related fields, with at least 3 years in a managerial role. A strong understanding of cloud infrastructure and the ability to collaborate effectively with product and engineering leaders is essential.

Skills: site reliability engineering, cloud infrastructure, distributed systems, observability, incident management, automation, capacity planning, team leadership, collaboration, data analysis, on-call models, postmortems, error budgets, architecture, learning loops, risk communication

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science or equivalent experience, along with 4+ years in an engineering management role. Experience with AWS, Rust, Rails, and building diverse teams is also required.

Skills: engineering management, cloud infrastructure, ci/cd pipelines, data engineering, soc2 controls, aws, rust, rails, docker, angular, communication skills, team building, diversity, software architecture, saas, technical leadership

Summary: Candidates should have over 10 years of experience in data engineering or related fields, with significant technical leadership experience. Proficiency in Python and SQL, along with experience in cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, team leadership, architectural decisions, product strategy, customer impact, data systems, mentoring, analytical models

Summary: Candidates should have over 10 years of experience in data engineering or related fields, with significant technical leadership experience. Proficiency in Python, SQL, and modern cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, team leadership, architectural decisions, data systems, mentoring, product strategy, analytics engineering, healthcare data

Summary: Candidates should have 10+ years of experience in data engineering or related fields, with significant technical leadership experience. Proficiency in Python, SQL, and experience with cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, data systems, analytics engineering, team leadership, mentoring, product strategy, architectural decisions, debugging

Summary: Candidates should have over 5 years of experience in engineering management and a proven ability to scale teams and systems. Familiarity with Snowflake, DBT, or Sigma is required, along with experience in building modern data platforms.

Skills: data engineering, team leadership, data governance, data modeling, analytics, snowflake, dbt, python, typescript, cloud computing, data quality, event-driven architecture, collaboration, process improvement, architecture design, performance optimization

Summary: Candidates should have over 3 years of engineering management experience and strong hands-on .NET development skills. Experience with cloud systems, containerization, and high-throughput services is also required.

Skills: engineering management, software development, cloud computing, aws, containerization, docker, kubernetes, ci/cd, event-driven services, observability, production support, root-cause analysis, salesforce marketing cloud

Summary: Candidates should have over 10 years of software engineering experience, including 4 years managing engineering teams, and a strong background in building distributed systems. A solid technical judgment and a customer-centric mindset are essential.

Skills: software engineering, team management, distributed systems, routing systems, customer support, data science, machine learning, technical judgment, collaboration, communication, problem solving, roadmap planning, coaching, feedback, operational efficiency, customer experience

Summary: The ideal candidate should be a current senior engineering manager or tech lead ready for increased scope, possessing experience running engineering teams and enjoying IC work. Essential qualities include extreme ownership, strong communication across technical and non-technical audiences, pragmatic judgment balancing technical decisions with business objectives, and strong product intuition.

Skills: engineering execution, typescript stack, hands-on leadership, ic work, management, extreme ownership, system architecture, pragmatic judgment, product intuition, shipping quality, complex production systems, financial data

Summary: Candidates should have 6-8+ years of experience in analytics engineering or related fields, with expert-level SQL and dimensional modeling abilities. Strong communication skills and the ability to mentor and lead a team are also essential.

Skills: analytics engineering, bi engineering, data modeling, sql, dimensional modeling, metrics, definitions, business meaning, semantic layers, data design, communication skills, emotional intelligence, mentoring, technical leadership, lakehouse platforms, bi tools

Summary: Candidates should have 8+ years of software engineering experience, including 5+ years in engineering management, and experience building external-facing API products. A commitment to diversity, equity, and inclusion is also emphasized.

Skills: software engineering, engineering management, api development, team management, collaboration, coaching, diversity, equity, inclusion, scalability, reliability, problem solving, fast-paced environment, full-stack development, stakeholder engagement, technical direction

Summary: Candidates must have 8+ years of software development experience and proven leadership skills. Strong experience in building distributed systems and hands-on API-first design is essential.

Skills: software development, leadership, distributed systems, api-first design, aws cloud architecture, system design, communication skills, agile methodologies, relational databases, nosql databases, error handling, technical mentorship, full sdlc, modular architecture, team collaboration, technical delivery

Summary: Candidates must have 4+ years of managing engineering teams and deep expertise in experimentation. A growth engineering mindset and full-stack technical depth with 8+ years of production code experience are essential.

Skills: a/b testing, data-driven decisions, experimentation culture, feature flags, statistical significance, growth engineering, full-stack development, react, python, experimentation platforms, ai-driven development tools, figma, b2b saas, mentoring, team leadership, customer insights

Summary: Candidates should have an MS or PhD in Computer Science with an emphasis in Machine Learning and at least 7 years of work experience in the field. Additionally, 5 years of people management experience is required, along with hands-on experience fine-tuning and training models.

Skills: machine learning, leadership, model fine-tuning, inference, evaluation, deployment, python, pytorch, kubernetes, collaboration, communication, quantitative critical thinking

Summary: Candidates should have a bachelor's degree in a relevant field and at least 10 years of engineering experience, with 4+ years in a leadership role. Experience in healthcare technology and a strong technical understanding of cloud platforms and integration patterns are essential.

Skills: leadership, people management, engineering delivery, software development lifecycle, agile methodologies, quality engineering, cloud platforms, api integration, data pipelines, microservices, secure coding practices, healthcare technology, technical oversight, stakeholder management, operational excellence, continuous improvement

Summary: Candidates should have 8+ years of relevant experience, including at least 3 years in a leadership role. A strong understanding of APIs, SDKs, and the ability to deliver solutions in fast-paced environments is essential.

Skills: engineering, solutions engineering, technical consulting, apis, sdks, enterprise integration, communication, customer engagement

Summary: Experienced Engineering Manager with a proven record of driving teams toward high-quality outcomes. Strong communicator and technically fluent, capable of translating business goals into technical direction.

Skills: engineering management, team leadership, communication, technical fluency, strategic thinking, mentorship, collaboration, problem solving, system reliability, data integrity, empathy, adaptability, ownership, accountability, customer experience, continuous improvement

Summary: Candidates must have proven experience leading Sales Engineers in enterprise B2B environments and a strong background in consultative sales. Excellent communication skills and the ability to balance leadership with hands-on involvement are essential.

Skills: sales engineering, team leadership, technical sales, customer engagement, consultative sales, cybersecurity, communication, presentation skills, metrics-driven, collaboration, process improvement, recruitment, coaching, deal strategy, product direction, enterprise sales

Summary: Candidates should have over 8 years of experience in pre-sales systems engineering or solutions architecture. A strong background in infrastructure, data platforms, and security is essential.

Skills: sales engineering, solutions architecture, data resilience, cyber resilience, ransomware recovery, hybrid cloud, technical leadership, customer engagement, infrastructure, data platforms, security, governance, ai literacy, communication skills, curiosity, adaptability

Summary: Candidates should have 10+ years of hands-on experience in infrastructure and related services, with a strong technical background in AWS and IaC tools. Proven leadership experience and the ability to collaborate effectively with cross-functional teams are essential.

Skills: infrastructure, sre, aws, terraform, kubernetes, monitoring, observability, leadership, interpersonal skills, technical analysis, incident response, engineering best practices, collaboration, communication, project management, automation

Summary: Candidates must have at least 6 years of experience in Sales Engineering, including 2 years managing enterprise pre-sales teams, and a strong understanding of email security and cloud applications. High emotional intelligence and the ability to communicate with security executives are essential.

Skills: sales engineering, team leadership, technical strategy, email security, cloud applications, networking fundamentals, value-based selling, executive storytelling, proof of value, customer obsession, technical validation, account-based strategies, ai-driven security, saas ecosystems, incident response, security certifications

Summary: Candidates should have over 10 years of professional software engineering experience, with at least 3 years in senior technical leadership roles. Strong hands-on experience with Node.js, TypeScript, and AWS environments is required.

Skills: backend delivery, release management, reliability, observability, technical leadership, team leadership, node.js, typescript, graphql, postgresql, aws, infrastructure-as-code, terraform, incident response, production reliability, saas

Summary: Candidates should have at least 7 years of software engineering experience, including 2 years in engineering management and 1 year in the Risk, ML, or Payments domain. A strong understanding of high-quality code and effective software engineering processes is essential.

Skills: software engineering, engineering management, risk management, machine learning, payments, technical leadership, team mentoring, architectural decisions, recruitment, inclusive environment, distributed systems, fraud prevention, collaboration, strategic thinking, execution focused, problem solving

Summary: Candidates must have at least 6 years of experience in Sales Engineering, including 2 years in a management role, with a strong understanding of email security and cloud applications. High emotional intelligence and the ability to communicate with security executives are essential.

Skills: sales engineering, team leadership, technical strategy, email security, cloud applications, networking fundamentals, value-based selling, technical validation, executive storytelling, customer obsession, ai-driven security, saas, incident response, security certifications, proof of value, cloud saas infrastructure

Summary: Candidates should have a minimum of 10 years of related work experience in fields such as Commercial Building Operations and Engineering Design. A Bachelor’s degree is preferred, along with strong customer service skills and operational expertise.

Skills: leadership, communication, problem solving, technical skills, customer service, planning, organizing, innovation, hvac, engineering design, field service, quality expertise, time management, sustainability, microsoft suite, autocad

Summary: Candidates should have typically 10+ years in software engineering with significant experience in leading teams and delivering complex initiatives. A strong execution and operational judgment along with the ability to operationalize strategy and influence cross-functionally is essential.

Skills: engineering experience, people leadership, managing managers, execution, operational judgment, cross-functional influence, technical fluency, quality mindset, privacy mindset, safety mindset, coaching, performance management, growth plans, accountability, continuous improvement

Summary: Candidates should have 3-5+ years of experience managing senior data professionals and a hands-on background in Analytics Engineering or Data Engineering. A strong track record in leading cross-functional data initiatives and experience in startups or scaling mid-sized businesses is preferred.

Skills: sql, dbt, bi/data visualization tools, python for data, git, analytics engineering, data architecture, data quality, anomaly detection, team leadership, stakeholder leadership, analytics strategy, mentoring, data governance, healthcare data

Summary: Candidates should have 3+ years of software engineering experience, particularly with Laravel and PHP. A strong focus on maintainable code and the ability to handle complex systems is essential.

Skills: laravel, php, mysql, software engineering, backend technologies, testing pipelines, apis, observability, kubernetes, code refactoring, customer feedback, integration, communication, problem solving, self-motivation, empathy

Summary: Candidates should have 3+ years of software engineering experience, particularly with Laravel and backend technologies. A strong focus on maintainable code and the ability to navigate complex systems is essential.

Skills: laravel, php, mysql, software engineering, backend technologies, testing pipelines, apis, observability, kubernetes, code refactoring, customer feedback, integration, communication, problem solving, empathy

Summary: Candidates should have 3+ years of software engineering experience, particularly with Laravel and backend technologies. A strong focus on maintainable code and the ability to navigate complex systems is essential.

Skills: laravel, php, mysql, software engineering, backend technologies, testing pipelines, apis, observability, kubernetes, code refactoring, customer feedback, integration, communication, self-motivation, problem solving

Summary: Candidates must have a bachelor's degree in Computer Science or Engineering and 8-10 years of experience in software development. Additionally, 6-8 years of experience as a people manager is required.

Skills: software development, team leadership, web application development, javascript, html, css, angular, typescript, c#, .net core, rest, aws, ci/cd, agile, database management, security practices, debugging

Summary: Candidates should have deep expertise in generative AI content creation and a strong background in filmmaking and storytelling. Proficiency in design tools and a passion for advertising and marketing trends are also essential.

Skills: generative ai, filmmaking, creative direction, art direction, design, storyboarding, collaboration, innovation, adobe creative suite, video production, social content, pitch development, ai tools, visual storytelling, advertising, motion design

Summary: Candidates should have 5+ years of professional software engineering experience with strong proficiency in React and Java. A solid understanding of database design and experience with cloud infrastructure is also required.

Skills: java, full-stack development, react, backend services, restful apis, database design, postgresql, mysql, microservices, cloud infrastructure, ci/cd, graphql, websockets, docker, kubernetes, agile

Summary: Candidates should have 5+ years of experience building backend/fullstack applications and 2-5 years of experience managing teams of 5 or more engineers. Strong experience in scalable backend systems and ML Ops platforms is also required.

Skills: software engineering, team management, full-stack development, machine learning, data engineering, api development, user experience, agile methodologies, problem solving, scalable systems, technical leadership, cross-functional collaboration, process improvement, mentoring, product strategy, communication

Summary: Candidates should have over 10 years of experience in building and operating distributed systems, along with 5+ years of people management experience. Strong communication skills and a solid understanding of software quality practices are also required.

Skills: people management, distributed systems, stakeholder management, api-first system design, cloud operations, software quality practices, data capabilities, java, node.js, vue, event-driven systems, technical strategy, incident readiness, continuous improvement, communication, coaching

Summary: Candidates should have an MS or PhD in a relevant field with 12+ years of industry experience and a strong grasp of computer architecture and machine learning fundamentals. Proficiency in C/C++ and Python, along with experience in implementing algorithms for specialized hardware, is essential.

Skills: software kernels, computer architecture, data structures, system software, machine learning, c/c++ development, python development, embedded systems, fpgas, dsps, gpus, ai accelerators, ml frameworks, ml compilers, leadership, team collaboration

Summary: Candidates must have 7+ years of experience in JavaScript, with solid skills in Node.js, React, and MongoDB. Fluency in French and English is required, along with a collaborative and autonomous work ethic.

Skills: javascript, node.js, react, mongodb, web apps, mentoring, collaboration, performance optimization, refactoring, bug fixes, technical leadership, agile, b2b saas, real-time apps, self-taught, problem solving

Summary: Bachelor’s degree in a relevant field and 4+ years of experience in building backend systems and distributed infrastructure are required. Experience with programming languages, APIs, microservices, and cloud platforms is essential.

Skills: backend development, distributed infrastructure, typescript, node.js, go, java, apis, microservices, async job queues, event-driven architectures, relational databases, cloud platforms, containerization, ci/cd pipelines, devops tooling, software engineering best practices

Summary: The ideal candidate should have over 8 years of experience in writing production software and a strong interest in AI/ML technologies. Familiarity with LLMs and excellent communication skills are also essential.

Skills: ai, ml, python, prompt engineering, embeddings, vector databases, software development, security tools, static analysis, communication, collaboration, mentoring, prototyping, model evaluation, user experience, product management

Summary: You should have 6+ years of experience in a web engineering role and a strong grasp of engineering fundamentals. Experience with Javascript, Typescript, Next.js, and React is essential.

Skills: web engineering, high quality software, product development, javascript, typescript, next.js, react, functional programming, reactive programming

Summary: Candidates should have 5+ years of software engineering experience and a passion for building systems that enhance AI performance. Experience with retrieval systems and knowledge bases is also important.

Skills: software engineering, ai evaluation systems, data pipelines, ai model optimization, knowledge bases, information extraction, python, golang, llms, prompt optimization, vector databases, ai evaluation tools, data pipeline, automation infrastructure

Summary: A Bachelor's Degree in Computer Science or related field is required, along with a minimum of 6 years of software development experience. Knowledge of SaaS operations and strong communication skills are essential.

Skills: software engineering management, agile software development, data analysis, sdlc, estimation, cloud-based applications, troubleshooting, react, javascript, typescript, nodejs, oop, typeorm, mysql, git, aws

Summary: Candidates should have a Master's or Bachelor's degree in Computer Science or a related field with 7+ years of experience. Proficiency in deploying ML/LLM models and experience with distributed systems and backend technologies is essential.

Skills: ai, machine learning, software development, distributed systems, python, postgres, redis, kafka, rabbitmq, ray, opentelemetry, llm, agentic applications, microservices, systems engineering, product engineering

Summary: Candidates should have a track record of delivering exceptional work in fast-paced environments and possess a deep understanding of the tech stack. They should also have experience in product teams and be capable of solving product problems.

Skills: full stack development, typescript, react, next.js, tailwind, postgresql, redis, python, fastapi, devops, ci/cd, serverless, product management, user experience, security best practices, attention to detail

Summary: 5+ years of experience as a product engineer with a strong focus on shipping quality products. Proficiency in SQL, TypeScript/JavaScript, and React is essential, along with a proactive approach to problem-solving.

Skills: product engineering, sql, typescript, javascript, react, testing practices, collaboration, proactivity, iterative development, mobile app development, postgresql, python

Summary: You should be comfortable tackling any part of the technology stack and thrive in environments with product and technical ambiguity. Strong collaboration and communication skills are essential, along with a desire to create leverage in your work.

Skills: product engineering, software development, collaboration, communication, problem solving, technical design, frontend development, backend development, agile methodologies, user research, wireframing, prototyping, sql, typescript, react, node.js

Summary: You should have 2-3+ years of experience in a web engineering role and a strong grasp of engineering fundamentals. Experience with Javascript, Typescript, Next.js, and React is essential.

Skills: web engineering, high quality software, product development, javascript, typescript, next.js, react, functional programming, reactive programming

Summary: Candidates should be results-driven, proactive, and data-driven, with strong organizational and relationship-building skills. An excitement for the mission of a fast-growing startup and experience in international scaling are preferred.

Skills: talent acquisition, strategic partnership, sourcing, employer branding, candidate experience, data analysis, process improvement, relationship building, empathy, teamwork, proactivity, organizational skills, communication, technology utilization, social impact, international scaling

Summary: Candidates should have a strong background in software engineering and leadership experience in delivering quality software. Effective communication and collaboration skills are essential for mentoring and guiding the team.

Skills: software engineering, leadership, performance facilitation, agile methodologies, full-stack development, communication, collaboration, mentorship, coaching, recruiting, problem solving, team management, feedback, employee development, technical background, user-facing products

Summary: Candidates should have extensive knowledge of product delivery and system design, typically with a decade or more of cross-organizational leadership experience. Strong strategic leadership skills and the ability to navigate ambiguity are essential.

Skills: technical leadership, system design, product delivery, stakeholder management, project coordination, mentoring, code quality improvement, architecture, execution coordination, cross-team collaboration, risk management, agile methodologies, software development, automation, security compliance, trust management

Summary: Candidates should have 5+ years of product development experience with a focus on structural analysis and hardware design, preferably in aerospace. A bachelor's degree in aerospace or mechanical engineering is required, along with proficiency in FEA software and CAD tools.

Skills: structural analysis, finite element analysis, mechanical systems, material selection, fabrication support, structural testing, cad software, design optimization, problem solving, collaboration, aerospace structures, high-performance applications, hands-on experience, manufacturing processes, vibration analysis, shock testing

Summary: Candidates should be actively enrolled in a German university in a relevant field and ideally finish their studies in the first half of 2027. A passion for learning new technologies and experience with cloud providers, particularly AWS, is preferred.

Skills: aws, terraform, ci/cd, linux, docker, cloud governance, automation, monitoring, infrastructure-as-code, containerization, problem solving, communication, proactive mindset, devops, coding, qa

Summary: Candidates should have proven experience in building AI-powered products and a deep understanding of LLMs and AI models. A minimum of 5 years of backend or full-stack engineering experience is required, along with proficiency in relevant programming languages and database technologies.

Skills: ai, large language models, backend engineering, full-stack engineering, python, javascript, typescript, postgresdb, mysql, elasticsearch, ai privacy, security, compliance, collaboration, mentorship, user experience

Summary: Candidates must have a Master's degree or equivalent in a related field and at least 8 years of experience in data analytics. Experience with data pipelines, BI tools, and programming languages is also required.

Skills: data pipelines, etl/elt, data warehousing, orchestration tools, bi tools, data platforms, statistics experimentation, modeling techniques, python, sql, scala, java, hiring, translating business problems, driving strategy, agile methods, data quality

Summary: Candidates should have an accredited degree in Civil Engineering and at least 9 years of experience in commercial development or civil design projects. Hands-on experience in overseeing civil construction activities and knowledge of sustainability practices are also required.

Skills: civil engineering, project management, construction management, sustainability, communication, organizational skills, analytical skills, problem-solving, autocad, revit, gis, blue beam revu, quality assurance, field support, customer service, team collaboration, technical expertise

Summary: Candidates should have 7+ years of software engineering experience and 2+ years in a management role. A strong understanding of scalable systems and experience in FinTech or regulated industries is essential.

Skills: software engineering, people management, content management systems, headless architectures, agile methodologies, php, graphql, sql, javascript, typescript, security best practices, data privacy, compliance, mentorship, collaboration, problem solving, decision making

Summary: Candidates should have 7+ years of software engineering experience and 2+ years as a people manager. Proven experience in delivering production software in FinTech or regulated industries is essential.

Skills: software engineering, team leadership, agile methodologies, content management systems, headless architecture, php, graphql, sql, javascript, typescript, security best practices, data privacy, collaboration, problem solving, mentorship, continuous improvement

Summary: Looking for an experienced backend engineer with a strong background in building scalable systems. Candidates should be able to mentor junior engineers and make key product decisions.

Skills: backend engineering, infrastructure development, kubernetes, elasticsearch, dbt, data modeling, data querying, mentoring, product decision making, team culture

Summary: Candidates should have experience in frontend and backend development, particularly with TypeScript/Node or Python. Familiarity with AI tools, data wrangling, and cloud services is also essential.

Skills: ai development, frontend development, backend development, typescript, node, python, data wrangling, mlops, react, sql, ci/cd, cloud services, llm apis, vector databases, prompt control, testing

Summary: Candidates should be pursuing a Bachelor's or Master's degree in a relevant field and have experience programming in languages such as C, C++, Java, or Kotlin. Familiarity with embedded systems, Linux development environments, and version control tools is also required.

Skills: c, c++, java, kotlin, embedded systems, device software, systems programming, linux, version control, problem solving, communication, collaboration, power-constrained devices, rtos, android development, peripheral protocols

Summary: Candidates should have 2-5 years of relevant software, product, or security engineering experience. A strong understanding of distributed systems and proficiency in statically typed languages like Java, Scala, or Go is required.

Skills: distributed systems design, cloud systems, java, scala, c/c++, go, security engineering, identity management, access management, oauth, mtls, root cause analysis, troubleshooting, clean code, collaboration, customer focus

Summary: The role requires a deep understanding of quality engineering practices and a strong technical foundation in automation frameworks and CI/CD systems. Candidates should have 7+ years of experience in test automation for complex web applications and a proven ability to drive quality ownership across teams.

Skills: quality engineering, automation, ci/cd, test automation, performance testing, security testing, api quality, collaboration, communication, mentoring, data-driven initiatives, internal tools, observability, release management, developer experience, shift-left practices

Summary: Candidates should have 8+ years of experience in software engineering, particularly in web services and ETL systems. Expertise in distributed systems and familiarity with the primary tech stack is preferred.

Skills: backend software engineering, web services, etl architecture, high throughput systems, distributed systems, microservices, cloud architectures, containerization, ci/cd pipelines, typescript, mongodb, go, python, commercial software products, b2b saas, communication skills, collaboration

Summary: Significant experience as a Senior or Lead QA Engineer is required, with deep expertise in BDD and automation using Kotlin or Java. Strong communication and leadership skills are essential, along with a solid understanding of cloud-native systems and CI/CD best practices.

Skills: quality assurance, bdd, kotlin, java, microservices, kafka, cloud-native systems, ci/cd, test automation, frontend testing, backend testing, performance testing, leadership, mentoring, collaboration, analytical mindset

Summary: Candidates should have over 7 years of experience in AI/ML or software engineering, with a proven track record in building AI agents. Strong leadership skills and the ability to manage cross-functional teams are essential.

Skills: ai/ml, software engineering, python, architectural design, ai agents, leadership, cross-functional management, communication, presentation skills, continuous learning, stakeholder management, technical pragmatism, innovation, agile methodologies, team management, emerging technologies

Summary: Candidates should have a Bachelor's degree in Computer Science or equivalent experience, with at least 4 years in relevant industry roles. Proficiency in Java or Golang and experience with cloud environments and container workloads are essential.

Skills: software engineering, distributed systems, java, golang, cloud environments, aws, azure, gcp, kubernetes, terraform, saas services, open-source contributions, agile development, performance, scalability, reliability, availability

Summary: 4+ years of hands-on SEO, content strategy, or web optimization experience is required. A Bachelor's degree in computer science or a related technical field, or experience in software engineering or product marketing engineering is also necessary.

Skills: seo, content strategy, web optimization, sql, databases, analytics, observability, geo, aeo, ai, communication, growth skills, analytical skills, thought leadership

Summary: You should have 8+ years of professional software development experience, particularly in startup environments. Expert-level skills in frontend technologies like React and TypeScript, along with strong backend competence in Node.js and Python, are essential.

Skills: full-stack development, typescript, react, node.js, python, ai systems, ui/ux design, systems architecture, cross-functional leadership, webrtc, websockets, performance optimization, infrastructure-as-code, aws, developer tools, api platforms

Summary: Experience in supporting engineering and product implementation with a strong knowledge of cloud service providers is required. Significant development and automation experience, particularly with C++, is also essential.

Skills: threat modeling, security assurance, vulnerability assessments, cloud security, kubernetes, c++, static code analysis, dynamic code analysis, automation, security tools, incident response, bug bounty programs, fuzzing, process improvement, secure implementation, advisory

Summary: Candidates should have experience supporting engineering and product implementation efforts, particularly in threat assessments and assurance activities. A strong knowledge of cloud service providers and engineering security tools is also required.

Skills: product security, threat modeling, vulnerability assessment, incident response, cloud security, kubernetes, c++, static code analysis, dynamic code analysis, automation, security tools, bug bounty, pentesting, software composition analysis, fuzzing, security as code

Summary: Candidates should have a bachelor's degree in a related field and at least 7 years of experience in data or software engineering. Advanced programming skills in Python and SQL, along with experience in building distributed data systems, are essential.

Skills: python, sql, data engineering, etl, elt, data architecture, cloud computing, data warehousing, machine learning, data quality, data modeling, data pipelines, orchestration, collaboration, mentoring, analytical skills

Summary: Candidates should have extensive experience in developing software for enterprise systems and customizing large-scale CRMs. Proficiency in cloud environments and the .Net web app stack is essential, along with strong communication and collaboration skills.

Skills: software development, crm customization, cloud environments, automation, c#, javascript, ms sql server, system design, ci/cd, blackbaud crm, technical direction, collaboration, fundraising, data privacy, technical documentation, mentoring

Summary: Candidates should have over 10 years of software engineering experience with a focus on architectural leadership and at least 2 years of production experience with AI/ML models. Strong backend or full-stack development experience and familiarity with AI-assisted development tools are essential.

Skills: software engineering, ai integration, technical leadership, system design, task decomposition, mentorship, devops, ci/cd, backend development, full-stack development, ai/ml models, microservices, domain-driven design, clean code practices, ai tools, vector databases

Summary: Candidates must have over 15 years of design experience in data centers or mission-critical environments, with at least 5 years in a managerial role. A bachelor's degree in Engineering, Architecture, or a related discipline is required, along with a Professional Engineer (PE) license or equivalent certification.

Skills: design management, data centers, project management, civil engineering, structural engineering, architectural design, mechanical systems, electrical systems, ict systems, security systems, bim coordination, stakeholder management, value engineering, construction oversight, technical leadership, client relationship management

Summary: Proven experience leading engineering teams in CI/CD and build systems is essential. A strong background in modern automation tools and cloud-native environments is also required.

Skills: continuous integration, build systems, developer productivity, automation tools, cloud-native environments, infrastructure-as-code, python, kotlin, java, problem-solving, communication, leadership, mentoring, technical decision-making, monitoring, incident response

Summary: Candidates should have 15+ years of experience in Machine Learning or related fields and a successful track record in leading ML teams. They must be comfortable working in matrix organizations and have experience in hiring and retaining talent.

Skills: machine learning, ai, model development, business outcomes, product leadership, cross functional collaboration, talent acquisition, ml platform engineering, experimentation culture, risk management, legal compliance, data analysis, transformers, underwriting, fraud detection, personalization

Summary: The role requires 5+ years of experience with high-performance backend systems and strong programming skills in Go, Python, TypeScript/Node, and Java. A keen interest in AI and LLM ecosystems, along with experience in building complex SaaS platforms, is also essential.

Skills: go, python, java, typescript, machine learning, saas platforms, cloud computing, kubernetes, distributed systems, apis, analytics, dimensionality reduction, monitoring, visualization, open source, stream processing

Summary: The role requires 5+ years of frontend experience, preferably in React and Typescript, along with a strong sense of product ownership. Candidates should have experience debugging complex systems and a passion for AI and LLM technologies.

Skills: typescript, react, python, go, apis, machine learning, llm, data visualization, debugging, saas, ux design, team collaboration, graphql, analytics, data science, ai

Summary: The role requires exceptional drive and commitment, with a focus on taking ownership of complex problems and learning new technologies rapidly. Experience with GraphQl, ML, and AI products will set candidates apart.

Skills: go, python, java, typescript, graphql, machine learning, data science, data visualization, ai products, large language models, complex problem solving, code quality, system design, dimensionality reduction, real-time evaluation, apis

Summary: Candidates should have experience as both an individual contributor and a manager, with strengths in product and backend engineering. Clear communication and the ability to balance leadership with technical execution are essential.

Skills: engineering management, product engineering, backend infrastructure, team leadership, project execution, technical depth, communication, ai systems, observability, evaluation tools, developer platforms, enterprise products, open standards, machine learning, problem solving, mentoring

Summary: No specific requirements are mentioned in the posting. Candidates from various tech backgrounds are encouraged to apply.

Skills: engineering, it, data, product, design

Summary: The role requires 2+ years of experience in product and application security, with hands-on experience in shipping production code. Candidates should be proficient in writing clean code and familiar with technologies like JavaScript, TypeScript, Node, Linux, and AWS.

Skills: product security, application security, security reviews, clean code, ai product security, collaboration, communication, javascript, typescript, node, linux, aws

Summary: Candidates should have a highly technical background with experience in distributed systems and developer tooling. Significant people leadership experience and exceptional communication skills are also essential.

Skills: product management, infrastructure, developer productivity, technical roadmaps, build-versus-buy decisions, mentoring, data analysis, cross-functional collaboration, emerging technologies, communication, distributed systems, cloud platforms, ci/cd tools, observability platforms, strategic thinking, saas platforms

Summary: Candidates should have experience leading engineering teams and practical knowledge of software supply chain security concepts. Familiarity with the SLSA framework and secure software development practices is also required.

Skills: engineering management, software supply chain security, ci/cd, slsa, vulnerability management, software composition analysis, secrets management, collaboration, product management, security standards, documentation, continuous improvement, team development, secure software development, container security, artifact provenance

Summary: The ideal candidate should have experience leading high-performing engineering teams and a strong proficiency in C++ and Linux. Experience with real-time systems and effective communication skills are also essential.

Skills: c++, linux, real time systems, embedded systems, performance monitoring, reliability, team leadership, software engineering practices, technical direction, architecture, communication, stakeholder alignment, hiring, coaching, collaboration, problem solving

Summary: You have 2+ years of industry experience with modern full-stack web development, particularly in backend feature development. You are fluent in one or more backend technologies and have a good understanding of web technologies and large-scale web application architecture.

Skills: full-stack development, backend development, javascript, react, aws, node.js, sql, html, css, product management, design, data science, ai, web technologies, large-scale applications, computer science

Summary: Candidates should have 7+ years of experience in modern systems development, ideally with database internals. A background in computer science or a related field is required, along with an interest in TypeScript and Rust.

Skills: software engineering, backend development, typescript, rust, database internals, web technologies, application architecture, product management, design, data science, collaboration, scalability, performance, problem solving, attention to detail, ownership

Summary: You have 2-5 years of industry experience with modern full-stack web development, particularly in user-facing feature development. You are fluent in frontend and backend technologies and have a background in computer science or a related field.

Skills: full stack development, javascript, react, node.js, sql, html, css, web technologies, user experience, automation, product development, collaboration, problem solving, attention to detail, agile methodologies, cross-functional teamwork

Summary: Candidates should have 5+ years of product marketing experience in B2B SaaS, with a proven track record in scaling adoption with enterprise customers. Strong storytelling skills and experience in customer research and competitive intelligence are essential.

Skills: product marketing, b2b saas, go-to-market strategy, customer insights, sales enablement, project management, market segmentation, competitive intelligence, storytelling, digital analytics, ai tools, technical skills, customer research, cross-functional collaboration, campaign management, messaging

Summary: Candidates should have a strong background in Reliability Engineering, DevOps, or Software Engineering with at least 10 years of experience. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required, along with expertise in cloud architecture and large-scale systems design.

Skills: reliability engineering, cloud architecture, devops practices, microservices, kubernetes, aws, terraform, observability tools, incident response, distributed systems, problem-solving, analytical skills, mentoring, communication skills, leadership

Summary: Candidates should have 5+ years of experience in product security or DevSecOps, with strong skills in application security and security tooling. Familiarity with compliance frameworks and experience in threat modeling and security architecture reviews are also required.

Skills: application security, devsecops, threat modeling, security tooling, python, java, security architecture, vulnerability management, secure coding, cloud security, mobile security, ci/cd integration, aspm platforms, security automation, compliance frameworks, security consulting

Summary: Proven experience in software engineering and people leadership, with a track record of delivering complex systems. Ability to attract and develop top engineering talent while maintaining high standards.

Skills: engineering leadership, team building, technical excellence, operational discipline, cross-functional collaboration, customer focus, agile methodologies, architectural excellence, resilience, continuous improvement, strategic vision, mentorship, cultural leadership, decentralized decision-making, high standards, problem solving

Summary: Candidates must have 8+ years of software engineering experience and 5+ years in engineering leadership. Strong hands-on experience with multiple programming languages and a solid understanding of software development best practices are essential.

Skills: software engineering, team leadership, technical direction, quality assurance, golang, rust, python, javascript, typescript, css, full stack development, sdlc best practices, cross-functional collaboration, mentorship, data engineering, user interface development, backend development

Summary: A Bachelor's or Master's degree in Civil Engineering and a Professional Engineer (PE) license are required. Candidates should have a minimum of 8 years of experience in civil/site design, ideally with federal clients.

Skills: civil engineering, design, project management, quality assurance, quality control, federal standards, communication, mentoring, technical leadership, civil 3d, regulatory compliance, proposal development, client engagement, team coordination, problem solving, infrastructure projects

Summary: A Bachelor’s or Master’s degree in Civil Engineering and a Professional Engineer (PE) license are required. Candidates should have a minimum of 6 years of experience in civil/site design, ideally with federal clients.

Skills: civil engineering, project management, civil design, grading, drainage, utilities, site layout, technical specifications, collaboration, federal regulations, communication skills, civil 3d, dod standards, va standards, proposal development, client relations

Summary: Candidates should have a bachelor's degree in engineering, sciences, landscape architecture, or business, along with 12 years of experience in the consulting industry and 10 years in leadership or management. Strong organizational and communication skills are essential, along with the ability to effectively plan and execute projects.

Skills: project management, engineering design, leadership, communication, organization, team collaboration, planning, execution, monitoring, control, closing projects, mentoring, best practices, technical expertise, p&l responsibility, client advisory

Summary: A Bachelor’s or Master’s degree in Electrical Engineering and a Professional Engineer (PE) license are required. Candidates should have a minimum of 8 years of experience in electrical design, ideally with federal clients.

Skills: electrical design, revit, autocad, power distribution, lighting, electrical modeling, site surveys, troubleshooting, project management, client meetings, mentoring, renewable energy, energy efficiency, compliance documentation, national electrical code, nfpa standards, federal design standards

Summary: Candidates should have a bachelor's degree in engineering or an associate degree with equivalent experience, along with 6+ years of project experience in the Architecture, Engineering, and Construction industry. Strong decision-making, leadership, and negotiation abilities are also required.

Skills: project management, engineering, design, budget management, risk management, client relations, team leadership, quality assurance, negotiation, communication, resource management, documentation, mentoring, safety regulations, decision making, collaboration

Summary: Candidates should have 7+ years of product marketing experience, with a focus on platform commerce and gaming monetization. A deep understanding of gaming communities and exceptional communication skills are also required.

Skills: product marketing, commerce solutions, developer education, cross-functional leadership, developer engagement, metrics measurement, thought leadership, messaging, communication skills, collaboration, analytical skills, content strategy, gaming industry knowledge, social commerce, monetization models, developer economics

Summary: Candidates should have 3-7 years of relevant experience in engineering operations or project management, ideally within a SaaS environment. A bachelor's degree in a related field is preferred, along with strong communication and stakeholder management skills.

Skills: technical fluency, organizational discipline, communication skills, proactive, program management, collaborative, adaptable, trustworthy

Summary: Candidates should have a degree in Computer Science or a related field, along with 3+ years of software development management experience. Hands-on experience with modern technologies and Agile processes is essential.

Skills: software development, agile methodologies, angular, java, aws, mentoring, technical leadership, incident response, container orchestration, code reviews, data-driven decisions, high-availability systems, collaboration, technical architecture, problem solving, communication

Summary: Candidates should have over 7 years of experience in technical escalation or support engineering and excel at troubleshooting complex systems. Proficiency in SQL, Kubernetes, GCP, and understanding of FinTech concepts is also required.

Skills: technical escalation, support engineering, troubleshooting, distributed systems, apis, sql, kubernetes, gcp, process improvements, fintech, golang, kafka, rabbitmq, postgres, automation tools, technical documentation

Summary: Candidates should have experience in building automation using GitHub Actions and APIs, as well as using AI tools in production workflows. Additionally, they should have designed product processes in a startup or high-growth environment and be proficient in scripting.

Skills: github actions, automation, ai integration, feedback triage, release management, cross-functional coordination, meeting artifacts automation, product insights, customer feedback integration, scripting, dashboards, webhooks, apis, slack apis, llms, security

Summary: Candidates should have a foundation in Java and basic knowledge of SQL, along with familiarity with version control systems like Git. A degree in Computer Science or a related field is preferred, along with a proactive problem-solving mindset.

Skills: java, python, sql, nosql, etl, elt, api development, cloud computing, gcp, problem-solving, version control, microservices, data engineering, data pipelines, billing infrastructure, continuous learning

Summary: Candidates must have a minimum of 10 years of experience in software engineering, with at least 5 years in leadership roles. Comprehensive knowledge of information systems, cloud-native development, and P&C insurance operations is required.

Skills: software engineering, application development, quality assurance, project management, vendor management, cloud-native development, agile methodology, devops, api-first design, p&c insurance platforms, stakeholder management, strategic planning, team leadership, operational excellence, technology solutions, risk mitigation

Summary: Candidates should have predicted or achieved BBB at A-Level (or equivalent) by August 2026, with a preference for those with A-Level Software Systems Development, Computing, or Computer Science. A passion for technology and personal projects demonstrating interest are also important.

Skills: software engineering, cyber security, data, ai, coding, communication, collaboration, motivation, proactivity

Summary: Candidates should have a Bachelor's degree in computer science or engineering, with a Master's preferred, and at least 10 years of relevant experience, including 5 years in project/program management. Experience with Agile methodologies and cloud technologies is essential, along with strong problem-solving and communication skills.

Skills: project management, agile, scrum, microsoft technologies, aws, cloud computing, problem solving, communication, team leadership, process improvement, data management, risk mitigation, stakeholder management, kpi establishment, cross-functional collaboration, technical innovation

Summary: Candidates must possess a minimum of five to seven years of Software Engineering experience, including hands-on development of large-scale Web-based applications using the latest Microsoft technologies, along with proven management skills for enterprise-level websites. Strong analytical, communication, collaboration, and project management skills are essential, as is knowledge of modern technologies like React and cloud infrastructure.

Skills: software engineering team management, recruitment and retention, mentorship and coaching, performance reviews, cross-discipline collaboration, technical leadership, architecture design, ci/cd processes, project planning and execution, agile processes, web-based applications development, microsoft technologies, react, cloud infrastructure, testing frameworks, problem-solving

Summary: The ideal candidate should have a strong technical background in C# or Java and experience in user-centric, multidisciplinary teams. They should also possess strong management skills overseeing the full employee lifecycle and be delivery-focused with experience in agile teams.

Skills: c#, java, agile, user-centric, product management, team leadership, technical direction, monitoring, service health, performance management, conflict resolution, delivery planning, collaboration, data analysis, system design, recruitment

Summary: The ideal candidate should have proven experience leading software development teams and delivering enterprise applications, with a strong background in Java, Python, and Agile practices. Excellent leadership, communication, and problem-solving skills are essential, along with the ability to drive results and foster a high-performance culture.

Skills: software development, agile methodologies, technical design, architecture decisions, java, python, spring, sql, web technologies, leadership, communication, problem-solving, ai technologies, team performance, vendor management, process management

Summary: Candidates should have 3+ years of experience building highly performant web applications and thrive in fast-paced environments. They must be able to communicate effectively about complex software and have experience working in remote settings.

Skills: web applications, product design, technical planning, architectural decision-making, code reviews, customer feedback, data optimization, api design, backend systems, async communication, time management, react, python, django, aws, docker, kubernetes

Summary: Candidates must be actively pursuing a Bachelor’s degree in a related field (Cybersecurity, Computer Science, etc.), have completed at least three years of curriculum, and maintain a minimum 3.0 GPA. Basic understanding of computer networks and systems is required, along with being organized, self-directed, and willing to learn quickly in a team environment.

Skills: incident response, digital forensics, cyber threat intelligence, automation, cyber research, python, containerization, development workflows, requirements gathering, project leadership, cyber application engineering, tool design, threat feeds, detection automation, decision automation, cross-functional team interface

Summary: Candidates must have a high school diploma and be pursuing a bachelor's or advanced degree in a relevant discipline. Experience with programming languages and core computer science concepts is preferred.

Skills: software development, programming languages, object-oriented design, algorithm design, data structures, problem-solving, complexity analysis, high-quality code, critical thinking, agile environment, mentorship, team collaboration, communication skills, technical innovation, research, learning

Summary: Candidates must have a Bachelor’s or Technology degree in Engineering or a related field with at least 5 years of experience, or a Master's degree with 3 years of experience. A Department of Defense Secret security clearance is preferred, and U.S. citizenship is required.

Skills: engineering principles, technical activities, creative thinking, multi-tasking, team collaboration, research, troubleshooting, testing, building, repairing, advanced electronics, artificial intelligence, blockchain, cloud native, quantum physics, cyber

Summary: Candidates should have at least 6 years of experience as an individual contributor and 2 years managing engineering teams. A strong technical background and experience in remote management are essential.

Skills: leadership, team management, feedback, mentorship, remote management, technical support, process improvement, recruitment, team performance, innovation, ai strategies, agile methodologies, web development, mobile development, ruby on rails, aws

Summary: Candidates should have 5+ years of experience in software engineering, with proficiency in Python and familiarity with distributed systems. Strong communication skills and a proactive approach to feedback and growth are also essential.

Skills: python, aws, mysql, kubernetes, distributed systems, data pipelines, backend systems, code reviews, debugging, collaboration, technical constraints, metrics monitoring, community engagement, project management, problem solving, communication

Summary: Candidates should have a degree in Mechanical Engineering or a related field, along with experience in mechanical engineering and PLM management. Proficiency in PTC CREO CAD software and Windchill PLM is essential.

Skills: product data migration, ptc creo, windchill plm, mechanical engineering, cad management, project management, data cleansing, organizational skills, collaboration, stakeholder engagement, microsoft project, attributes definition, data issues categorization, engineering data quality, sustainability solutions, product design

Summary: Candidates must have at least 6 years of software development experience, with 5 years specifically in Java and risk engineering. Experience with rules engine architecture and implementing risk policies is essential.

Skills: java, spring boot, aws, rules engine, risk management, fraud detection, apis, machine learning, ci/cd, observability, monitoring, infrastructure as code, big data, collaboration, mentoring

Summary: Candidates must have at least 6 years of software development experience, with 5 years in Java and experience in risk engineering or fraud systems. Proficiency in Java frameworks, AWS, and scalable architectures is also required.

Skills: java, spring boot, aws, machine learning, apis, risk engineering, fraud systems, service-oriented architecture, ci/cd, observability, monitoring tools, infrastructure as code, big data, collaboration, mentoring, automation

Summary: Candidates need a Bachelor's degree in a related field or equivalent experience, with 5+ years in software engineering supporting production systems and 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django and JavaScript/React, along with experience using Datadog for monitoring, is required.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, production code ownership, technical planning, team mentoring, work prioritization, vendor integration management, system monitoring, incident response, python, django, javascript, react

Summary: We are looking for a highly motivated and adaptable recruiter with knowledge of talent in the B2B SaaS space. The ideal candidate should have a passion for the business and the ability to convey its value proposition to prospective candidates.

Skills: talent acquisition, recruitment, b2b saas, communication, attention to detail, data analysis, collaboration, search strategy, candidate experience, full-cycle recruiting, organizational skills, team player, entrepreneurial mindset, vetting candidates, hiring process, structured hiring

Summary: Candidates should have experience designing and launching backend systems, preferably using Python or Kotlin. Familiarity with distributed systems and technologies like AWS, MySQL, and Kubernetes is also required.

Skills: python, kotlin, aws, mysql, kubernetes, distributed systems, backend development, code review, debugging, communication, collaboration, problem solving, clean code, testing, ownership, empathy

Summary: Candidates should have a proven track record in building consumer-facing mobile applications and experience in engineering management. A background in personalization or intelligent systems that enhance user-facing features is also required.

Skills: software engineering, machine learning, mobile applications, cloud infrastructure, data science, leadership, collaboration, experimentation, product development, technical design, communication, mentoring, project management, user experience, personalization, analytics

Summary: The ideal candidate should have 5+ years of experience building user-facing web applications, strong skills in Vue 3 and TypeScript, and solid backend skills, ideally with PHP/Laravel. Experience with AI tools and third-party API integrations is also required.

Skills: vue 3, typescript, css, ai, laravel, inertia.js, rest, graphql, posthog, ga4, sentry, analytics, integration, defensive coding, community building, user acquisition

Summary: Candidates should have 5+ years of software engineering experience and 3+ years of leading software engineering teams. Active daily use of AI coding agents and a track record of delivering software that solves real customer problems are also required.

Skills: software engineering, technical leadership, people leadership, ai coding agents, microservices, event-driven architecture, rest apis, c#, .net, sql server, azure, cross-functional collaboration, mentorship, agile development, testability, observability, modularity

Summary: Candidates should have 3-5+ years of experience in application or product security, with a preference for industry certifications. A bachelor's or master's degree is preferred but not required, and U.S. citizenship is necessary for FedRAMP security clearance.

Skills: security technologies, sast, dast, sca, api security, container security, cloud security, vulnerability management, penetration testing, risk assessment, threat modeling, incident response, communication, collaboration, continuous learning, professional development

Summary: Candidates must possess a Bachelor’s degree or equivalent professional experience along with over 3 years of experience in software engineering, product development, or DevOps roles. Required technical expertise includes hands-on experience with AWS and Azure, proficiency in a programming language like Python or JavaScript, and familiarity with containers and CI/CD tools.

Skills: full-stack development, devops, cloud engineering, aws, azure, ci/cd pipelines, infrastructure as code (iac), terraform, cloudformation, ansible, arm templates, docker, kubernetes, eks/aks, observability, python, javascript/node.js, typescript

Summary: Candidates must possess significant hands-on experience in semiconductor test development, silicon characterization, and strong knowledge of ATE platforms and reliability physics for complex SoCs. The role requires practical lab management skills, experience with debug tools, and the ability to mentor and scale an engineering team.

Skills: product engineering, silicon bring-up, characterization, qualification, ate development, npi processes, osat management, yield analysis, lab leadership, test development, silicon debug, dft, reliability physics, failure analysis, test economics, team scaling

Summary: Candidates should have 6-12+ years of experience in engineering, product, or technical architecture roles, with a strong background in building platforms from the ground up. They must possess skills in full-stack web development, systems thinking, workflow automation, and practical AI implementation.

Skills: full-stack web development, systems thinking, data modeling, workflow automation, tool integration, ai, llm practical implementation, shipping mentality, product architecture, technical standards, creative workflows, operational complexity, automation tools, pragmatic decision making, internal tools development, integration of ai

Summary: Candidates should have over 5 years of professional software engineering experience, including 2 years in a startup environment, with proficiency in Golang and Python. A strong understanding of distributed systems, APIs, and observability concepts is also required.

Skills: golang, python, distributed systems, backend microservices, grpc, protobuf, event-driven architecture, streaming data systems, redis streams, kafka, observability, networking fundamentals, technical documentation, visualization frameworks, kubernetes, aws

Summary: Candidates should have 2-3 years of experience in established engineering processes and be fluent in English. Strong analytical skills and daily experience with LLMs and engineering software are also required.

Skills: machine learning, computer vision, analytical skills, quantitative skills, communication, llms, engineering software

Summary: Candidates must have technical fluency and an understanding of market personas, along with the ability to create engaging demos. Experience with MarTech or sales tech platforms is a plus.

Skills: technical fluency, market understanding, video demos, implementation guides, proof-of-concept flows, content creation, self-sufficient, fast learner

Summary: Candidates should have experience managing tech leads or engineering managers and demonstrate a hands-on orientation with coding and architecture. Familiarity with AI tools and a track record of timely delivery without sacrificing quality are essential.

Skills: technology management, hands-on orientation, ai tool adoption, delivery focus, full-stack fluency, squad experience

Summary: Candidates should have over 10 years of software engineering experience, including at least 4 years in a management role. A deep understanding of software design principles and experience with cloud-based SaaS products is essential.

Skills: software engineering, team leadership, cloud computing, api design, data management, technical strategy, cross-functional collaboration, code reviews, ci/cd pipelines, architectural patterns, saas products, networking, container orchestration, communication skills, problem solving, mentorship

Summary: Candidates should have over 10 years of software engineering experience, including at least 4 years in a management role. A deep understanding of software design principles and experience with cloud-based products are essential.

Skills: software engineering, team leadership, cloud-based saas, gcp, data systems management, api design, ci/cd pipelines, technical strategy, cross-functional collaboration, software design principles, architectural patterns, technical decision-making, mentoring, project management, quality assurance, communication skills

Summary: Strong foundational software engineering skills are required, along with the ability to thrive in a dynamic startup environment. Immediate productivity in at least one area of the tech stack is expected.

Skills: software engineering, python, react, typescript, aws, ai systems, postgres, git, debugging, code reviews

Summary: Candidates should be enrolled in a Computer Science or related program and have experience with Python programming. A basic understanding of software development processes, REST APIs, and databases is also required.

Skills: python, rest apis, databases, version control, cybersecurity, problem-solving, communication, react, typescript, ci/cd

Summary: Candidates must have over 4 years of experience with DoD or IC remote sensing constellations, including GEOINT systems, and proficiency in Agile, software engineering, and project management principles. A current TS/SCI clearance is mandatory, along with a Bachelor's degree in a STEM field.

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

Summary: Candidates must possess at least two years of technical support experience within a SaaS environment and demonstrate proficiency with technologies like APIs, JSON, SQL, and TCP/IP. A strong customer focus, excellent communication skills, and experience with issue-tracking systems like Jira are essential for success in this role.

Skills: subject matter expert, jira issues, slos, bug reports, product documentation, troubleshooting guides, issue trend identification, backlog management, process improvement, incident participation, on-call rotation, apis, json, sql, tcp/ip, technical writing

Summary: Candidates should have proven experience in a hands-on software development management role with a strong technical background in TypeScript and cloud-native systems. Experience with AWS, agile environments, and automated testing frameworks is essential.

Skills: software development management, backend development, mobile development, aws, typescript, cloud-native systems, terraform, agile environments, ci/cd pipelines, automated testing, sql databases, nosql databases, debugging, problem-solving, communication skills, interpersonal skills

Summary: The job requires experience in software development and a strong understanding of agile methodologies. Candidates should be able to write clean, testable, and performant code.

Skills: software development, agile methodologies, analytic solutions, performance optimization, clean code, testable code, automatic testing, data analytics, risk modeling, collaboration, problem solving, innovation, inclusivity, diversity, coaching, training

Summary: Candidates should possess strong knowledge of VoIP protocols like SIP, RTP, and Fax over IP (T.38), coupled with excellent interpersonal and communication skills for client interaction. A self-starter attitude, the ability to multitask and prioritize workload, and a continuous problem-solving mindset are essential.

Skills: voip troubleshooting, sip protocol, rtp packet analysis, wireshark, api replication, postman, t.30 fax analysis, t.38 fax over ip, linux terminal, tshark, customer service, ticket management, chat support, call support, email support, documentation improvement

Summary: Candidates should have a minimum of 10 years of software engineering experience, with at least 5 years in a leadership role. Preferred qualifications include experience in machine learning and insurtech, along with a strong educational background in relevant fields.

Skills: software engineering, ai/ml, team management, project management, system design, process improvement, ci/cd, cloud computing, devsecops, machine learning, deep learning, nlp, generative ai, java, python, communication

Summary: A Bachelor’s or Technology degree in Engineering or a related field is required, or equivalent job-related experience. A Department of Defense Secret security clearance is preferred, and U.S. citizenship is required.

Skills: engineering, technical competence, experiment design, troubleshooting, research, collaboration, innovation, problem solving

Summary: Candidates should have a strong technical background in C# or Java and experience in user-centric, multidisciplinary teams. Strong management experience overseeing the full employee lifecycle and a delivery-focused mindset are also essential.

Skills: c#, java, agile, user-centric design, technical decision making, team management, performance management, conflict resolution, delivery planning, monitoring, alerting, service health, collaboration, communication, problem solving, continuous improvement

Summary: Candidates should have a Master's degree in Computer Science or Software Engineering, with at least 6 years of software engineering experience, including 2 years in management. Expertise in large-scale distributed systems and a strong understanding of security and compliance in cloud environments are essential.

Skills: software engineering, engineering management, distributed systems, api development, cloud security, compliance, leadership, team building, decision making, communication, project management, innovation, collaboration, automation, customer requirements, metrics-driven development

Summary: Candidates need over 8 years in infrastructure/SRE/cloud engineering, with at least 3 years leading specialized teams, demonstrating deep proficiency in AWS and Infrastructure-as-Code tools like Terraform. Essential qualifications include operational grit in handling incidents, understanding of MLOps infrastructure needs, and expertise in systems scaling and observability.

Skills: sre, infrastructure, mlops, reliability, scalability, cost efficiency, cloud infrastructure, platform-as-a-product, slis/slos, incident response, mlops roadmap, cloud finops, infrastructure-as-code, disaster recovery, aws, terraform

Summary: Candidates should have experience designing, developing, and launching backend systems at scale, with proficiency in Python or Kotlin. Familiarity with distributed systems and modern front-end technologies is also required.

Skills: python, kotlin, aws, mysql, kubernetes, javascript, typescript, react, react native, redux, es6, webpack, css3, code reviews, debugging, communication

Summary: Proven experience as a Head of Engineering with a strong technical background in cloud-based systems. A passion for mentoring engineers and a track record of delivering reliable systems in agile environments is essential.

Skills: java, react, azure, cloud-native, api-driven, agile, microservices, containerization, site reliability engineering, scalability, performance optimization, mentoring, collaboration, continuous improvement, clean code, tdd

Summary: Candidates should have over 12 years of software engineering experience and at least 5 years in engineering management. Expertise in modern stacks and experience in regulated environments are also required.

Skills: software engineering, engineering management, full stack development, cloud-native infrastructure, distributed systems, microservices, event-driven architectures, data privacy, remote team leadership, technical strategy, platform engineering, delivery excellence, team leadership, operational rigor, quality assurance, growth mindset

Summary: Candidates should have 8+ years of full-stack engineering experience with a track record of shipping complex applications. Experience in product management or program management is also required, along with proficiency in modern tech stacks like React and Node.js.

Skills: full-stack engineering, product management, technical architecture, program management, user feedback, mentorship, react, node.js, python, sql, analytics tools, cloud infrastructure, design, healthcare, ai integration, communication

Summary: Essential qualifications include experience in architecting complex systems and writing production-ready code. Desirable qualifications include experience in insurtech or finance and extensive commercial experience with Haskell or other typed functional programming languages.

Skills: haskell, distributed systems, cloud providers, architecture, security, observability, testing, collaboration, problem-solving, data-driven design, prototyping, communication, mentoring, continuous improvement, full-stack engineering, complex systems

Summary: Candidates should be experienced engineers capable of designing evolutionary architectures and solving complex problems, with confidence in delivering ambiguous initiatives. Essential requirements include deep technical insight, hands-on experience writing performant Haskell, strong communication skills, and a commitment to mentoring and considering product context.

Skills: designing scalable architectures, high-performance software, technical delivery ownership, system architecture understanding, haskell programming, engineering standards, testing strategies, blocker removal, outcome focus, complex communication, mentoring engineers, problem-solving, pragmatism, product context consideration, organizational health

Summary: Candidates must build performant, evolutionary architectures, possess strong system-level technical understanding, and be highly proficient across multiple codebases, especially with Haskell. They should also excel at inspiring teams, improving organizational processes, and clearly communicating complex ideas to build alignment.

Skills: high-performance architectures, scalable software architectures, technical leadership, system architecture, haskell proficiency, high-quality code, testing strategies, pragmatism, coaching, performance management, cross-team collaboration, organizational process improvement, problem-solving, product quality focus, distributed work experience

Summary: Candidates should have strong knowledge of OIDC, hands-on experience with Okta and OAuth 2.0, and proficiency in Java and Spring Boot. Additionally, expertise in microservices architectures and containerization technologies is required.

Skills: oidc, okta, oauth 2.0, federated login, identity federation, java, spring boot, microservices, redis, kafka, rabbitmq, aws sns, aws sqs, docker, kubernetes, aws, azure

Summary: The role requires 3+ years of experience as a product engineer or similar, with evidence of customer empathy and the ability to lead projects end-to-end. Strong communication skills and comfort with ambiguity in a fast-paced environment are also essential.

Skills: product engineering, full stack development, customer empathy, communication skills, react, typescript, node, graphql, mysql, aws, automation, ai, software design, infrastructure architecture, logistics challenges, problem solving

Summary: A Bachelor's or Master's degree in Computer Science or a related field is required, along with 6+ years of industry experience. Strong programming skills in Python and experience with cloud platforms and AI products are essential.

Skills: python, react, nextjs, typescript, fastapi, restful apis, machine learning, tensorflow, pytorch, huggingface, generative ai, cloud platforms, data analysis, ai products, llms, prompt engineering

Summary: Candidates should have a Bachelor's degree in a relevant field and at least 5 years of experience in Application Security or related areas. Strong knowledge of security practices, tools, and cloud platforms is essential.

Skills: information security, application security, product security, software security engineering, secure software development lifecycle, threat modeling, secure design reviews, application security assessments, owasp top 10, programming languages, cloud platforms, devsecops, container security, infrastructure as code security, security certifications, ai/ml security

Summary: A university degree in Computer Science or equivalent is required, along with 3-5 years of experience leading a team of software engineers. Candidates should have 5-10 years of full-stack coding experience and familiarity with the specified tech stack.

Skills: engineering management, software development, agile methodologies, full-stack coding, cloud-native applications, typescript, javascript, node.js, kafka, react, graphql, observability, application security, ai-assisted coding, saas product management

Summary: Candidates should be pursuing a Bachelor's in Computer Science or a related field, with prior internship experience preferred. A basic understanding of APIs and an interest in building large-scale business AI applications are also desired.

Skills: java development, object oriented design, spring boot, microservices architecture, version control systems, analytical skills, problem solving, communication skills, collaboration, learning, adaptability

Summary: Candidates should have over 10 years of software development experience, including 3 years in a director-level role managing managers. A strong background in web development and proven people management skills are essential.

Skills: software development, people management, coaching, team building, product orientation, technical guidance, collaboration, communication, web development, organizational leadership, recruiting, mentorship, adaptability, results driven, inclusivity, urgency

Summary: 1-2 years of technical or customer support experience is required, along with an associate's degree in a related field. Experience in a technical support environment and strong communication skills are also necessary.

Skills: technical support, customer support, troubleshooting, documentation, communication skills, regulatory compliance, field service, medical device experience, bilingual, call center experience

Summary: Candidates should have hands-on experience in building and shipping production software using languages like Go, Python, or Ruby on Rails. They should also be comfortable operating with ambiguity and thrive in iterative environments.

Skills: go, python, ruby on rails, apis, data pipelines, data quality, versioning, backwards compatibility, collaboration, documentation, code reviews, design discussions, engineering practices, customer needs, technical debt, iterative environments

Summary: Senior product engineer focused on growth; build scalable frontend/backend features for growth initiatives; requires 6+ years experience; fully remote; top tech: Next.js, Node.js, React.

Skills: next.js, node.js, react, typescript

Summary: Candidates must have over 5 years of experience managing engineering teams, including 2 years managing other engineering managers, and possess expert technologist skills capable of influencing quality posture and defending architectural decisions. Strong communication, analytical skills, and an agile mindset are required to thrive in a fast-paced, hyper-growth environment.

Skills: technical leadership, people management, software architecture, scalability, stability, cost effectiveness, stakeholder management, operational excellence, data analysis, technology roadmap, talent development, recruiting, agile, scrum methodology, problem solving, influencing skills

Summary: Candidates must have 5+ years of experience managing engineering teams and possess strong technical expertise. Excellent communication skills and familiarity with Agile methodologies are also required.

Skills: leadership, technical expertise, software development, agile methodology, problem solving, communication, team management, architecture design, operational excellence, data analysis, mentoring, recruitment, collaboration, analytical skills, influencing, entrepreneurial mindset

Summary: Candidates should have a minimum of 4 years of professional software development experience, with at least 3 years in Java and experience in React.js or React Native. Proficiency in AWS and various Java frameworks is also required.

Skills: java, react.js, react native, typescript, machine learning, apis, aws, spring boot, ci/cd, observability, monitoring tools, infrastructure as code, git, automation, big data, fraud detection

Summary: Candidates should have 8+ years of professional experience in software engineering, including 4+ years in engineering leadership. A proven track record in shipping complex products and strong system design skills are essential.

Skills: software engineering, engineering leadership, system design, architecture skills, apis, data modeling, production operations, team management, hiring, mentoring, healthcare experience, cloud infrastructure, ai integration

Summary: Candidates should have 5+ years of experience in a Product Security role, with strong familiarity in JavaScript/TypeScript and Node.js security. Experience with threat modeling, SDLC practices, and security tools is essential.

Skills: threat modeling, secure code review, open source security management, sdlc tooling, automation, bug bounty program management, cross-organizational security initiatives, customer-facing security support, javascript, typescript, node.js, next.js, security tools, cloud security, vulnerability management, technical leadership

Summary: Support role providing product-specific help via Slack, Intercom, email, or Zoom; requires HTML, CSS, JavaScript knowledge; collaborate with dev team and handle enterprise accounts.

Skills: html, css, javascript

Summary: Candidates should have 6+ years of experience in software engineering roles with a proven track record of leadership and technical expertise. A passion for blockchain technology and experience in senior roles at small startups during growth phases is essential.

Skills: software engineering, leadership, blockchain technology, system design, microservices, frontend architecture, database management, devops, security best practices, incident response, api development, real-time systems, event-driven architecture, cross-chain integration, performance optimization, mentoring

Summary: Candidates should have 5+ years of experience in Solutions/Sales Engineering or a translatable role, along with at least 2 years of management experience. A strong technical background in SaaS integrations and a collaborative mindset are essential for success in this role.

Skills: solutions engineering, sales engineering, saas integrations, platform architecture, team management, collaboration, project leadership, communication, process building, technical documentation, customer education, data analysis, growth mindset, attention to detail, knowledge management, problem solving

Summary: Candidates should have a bachelor's degree in Packaging Science or a related field and at least 8 years of hands-on experience in packaging engineering within the beauty or personal care industry. Strong skills in packaging design and project management are essential.

Skills: packaging development, project management, problem-solving, communication, innovation, sustainability, quality assurance, collaboration, attention to detail, packaging design, 3d cad, user experience, environmental impact, durability testing, compliance, cross-functional collaboration

Summary: Candidates should have over 10 years of experience in software engineering and architecture, with expertise in TypeScript, Node.js, and cloud-native architecture. Strong leadership and mentoring skills are essential, along with a deep respect for engineering craft.

Skills: software engineering, architecture, typescript, node.js, react, next.js, cloud-native architecture, gcp, aws, kubernetes, terraform, observability, automation systems, mentoring, communication, creative technology