{"schemaVersion":"jobsearcher.job.v1","id":"95b7143d02378a1c28b9760e","url":"https://jobsearcher.com/jobs/95b7143d02378a1c28b9760e","canonicalUrl":"https://jobsearcher.com/jobs/95b7143d02378a1c28b9760e","title":"Senior Software Engineer, Coding","description":"About Handshake\r\nHandshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.\r\nIn 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.\r\nWhy join Handshake now\r\nShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel\r\nPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions\r\nWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders\r\nBuild a massive, fast-growing business with billions in revenue\r\nAbout Handshake AI\r\nHuman data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.\r\nAbout the Role\r\nAs a Senior Software Engineer on our Coding Pod, you'll lead the design and development of the data infrastructure that powers frontier AI coding models. This team sits at the intersection of applied machine learning, distributed systems, and developer tooling—building the large-scale benchmark datasets, evaluation frameworks, and execution environments that determine how state-of-the-art coding models are trained and measured.\r\nYou'll own critical platform investments end-to-end, from architecting scalable data pipelines and evaluation systems to establishing technical standards for dataset quality, reliability, and developer workflows. Working closely with ML researchers, product managers, and engineers, you'll translate ambiguous research goals into production-ready systems that accelerate model development and improve evaluation quality.\r\nThis is an opportunity to shape the infrastructure behind next-generation AI coding systems while solving challenging distributed systems, data engineering, and developer platform problems at scale.\r\nLocation: San Francisco, CA\r\nWhat You'll Do\r\nArchitect and build scalable data infrastructure that powers the generation, transformation, validation, and delivery of large-scale coding datasets.\r\nDesign end-to-end evaluation systems, including automated grading, benchmarking, human-in-the-loop review, and quality assurance workflows.\r\nLead the technical design of developer-facing tooling and integrations with engineering ecosystems (GitHub, CI/CD systems, coding agents, containerized execution environments).\r\nBuild reliable backend services and APIs that support dataset generation, evaluation pipelines, and experiment infrastructure.\r\nDrive architectural decisions around distributed systems, workflow orchestration, execution environments, and data quality.\r\nPartner closely with ML researchers to translate evolving evaluation methodologies into scalable engineering systems.\r\nImprove platform reliability, observability, and performance through monitoring, debugging, and operational excellence.\r\nMentor engineers through technical design reviews, code reviews, and architectural guidance while helping raise the engineering bar across the team.\r\nIdentify opportunities to standardize reusable infrastructure, tooling, and evaluation frameworks that accelerate future model development.\r\nWe're Looking For\r\n6+ years of professional software engineering experience building backend systems, data infrastructure, or distributed platforms.\r\nStrong programming skills in Python, TypeScript, Java, or similar languages .\r\nExperience designing and operating large-scale data pipelines, distributed systems, or workflow orchestration platforms.\r\nStrong system design skills, with experience making architectural decisions around scalability, reliability, observability, and maintainability.\r\nExperience building cloud-native systems using AWS, GCP, or similar cloud platforms.\r\nFamiliarity with containerized execution environments (Docker, Kubernetes) and distributed job processing.\r\nStrong understanding of relational and/or NoSQL databases, data modeling, and storage systems.\r\nAbility to navigate ambiguity and translate evolving research or product requirements into scalable engineering solutions.\r\nExcellent communication skills and a track record of partnering effectively with researchers, product managers, and cross-functional engineering teams.\r\nExperience mentoring engineers and leading technical projects from design through production.\r\nNice to Have\r\nExperience building ML data infrastructure, evaluation frameworks, benchmarking systems, or dataset generation pipelines.\r\nExperience with coding agents, AI-assisted software development tools, or developer productivity platforms.\r\nFamiliarity with GitHub APIs, developer ecosystems, CI/CD platforms, or code execution environments.\r\nExperience with workflow orchestration frameworks such as Airflow, Temporal, Dagster, or similar distributed job systems.\r\nExperience building automated testing, grading, or code execution platforms.\r\nBackground working on infrastructure, platform engineering, or developer tooling in high-growth environments.\r\nFamiliarity with LLM evaluation, coding benchmarks, or agentic software engineering systems.\r\nPassion for advancing AI-powered software development through scalable engineering infrastructure.\r\nPerks\r\nHandshake delivers benefits that help you feel supported—and thrive at work and in life.\r\nThe below benefits are for full-time US employees.\r\nOwnership: Equity in a fast-growing company\r\nFinancial Wellness: 401(k) match, competitive compensation, financial coaching\r\nFamily Support: Paid parental leave, fertility benefits, parental coaching\r\nWellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend\r\nGrowth: $2,000 learning stipend, ongoing development\r\nOffice: Commuting support, free lunch, and gym in our SF office\r\nTime Off: Flexible PTO, 15 holidays + 2 flex days\r\nConnection: Team outings & referral bonuses\r\nJ-18808-Ljbffr","company":"Apply","rawCompany":"apply","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:06:58.500Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Coding","description":"About Handshake\r\nHandshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.\r\nIn 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.\r\nWhy join Handshake now\r\nShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel\r\nPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions\r\nWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders\r\nBuild a massive, fast-growing business with billions in revenue\r\nAbout Handshake AI\r\nHuman data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.\r\nAbout the Role\r\nAs a Senior Software Engineer on our Coding Pod, you'll lead the design and development of the data infrastructure that powers frontier AI coding models. This team sits at the intersection of applied machine learning, distributed systems, and developer tooling—building the large-scale benchmark datasets, evaluation frameworks, and execution environments that determine how state-of-the-art coding models are trained and measured.\r\nYou'll own critical platform investments end-to-end, from architecting scalable data pipelines and evaluation systems to establishing technical standards for dataset quality, reliability, and developer workflows. Working closely with ML researchers, product managers, and engineers, you'll translate ambiguous research goals into production-ready systems that accelerate model development and improve evaluation quality.\r\nThis is an opportunity to shape the infrastructure behind next-generation AI coding systems while solving challenging distributed systems, data engineering, and developer platform problems at scale.\r\nLocation: San Francisco, CA\r\nWhat You'll Do\r\nArchitect and build scalable data infrastructure that powers the generation, transformation, validation, and delivery of large-scale coding datasets.\r\nDesign end-to-end evaluation systems, including automated grading, benchmarking, human-in-the-loop review, and quality assurance workflows.\r\nLead the technical design of developer-facing tooling and integrations with engineering ecosystems (GitHub, CI/CD systems, coding agents, containerized execution environments).\r\nBuild reliable backend services and APIs that support dataset generation, evaluation pipelines, and experiment infrastructure.\r\nDrive architectural decisions around distributed systems, workflow orchestration, execution environments, and data quality.\r\nPartner closely with ML researchers to translate evolving evaluation methodologies into scalable engineering systems.\r\nImprove platform reliability, observability, and performance through monitoring, debugging, and operational excellence.\r\nMentor engineers through technical design reviews, code reviews, and architectural guidance while helping raise the engineering bar across the team.\r\nIdentify opportunities to standardize reusable infrastructure, tooling, and evaluation frameworks that accelerate future model development.\r\nWe're Looking For\r\n6+ years of professional software engineering experience building backend systems, data infrastructure, or distributed platforms.\r\nStrong programming skills in Python, TypeScript, Java, or similar languages .\r\nExperience designing and operating large-scale data pipelines, distributed systems, or workflow orchestration platforms.\r\nStrong system design skills, with experience making architectural decisions around scalability, reliability, observability, and maintainability.\r\nExperience building cloud-native systems using AWS, GCP, or similar cloud platforms.\r\nFamiliarity with containerized execution environments (Docker, Kubernetes) and distributed job processing.\r\nStrong understanding of relational and/or NoSQL databases, data modeling, and storage systems.\r\nAbility to navigate ambiguity and translate evolving research or product requirements into scalable engineering solutions.\r\nExcellent communication skills and a track record of partnering effectively with researchers, product managers, and cross-functional engineering teams.\r\nExperience mentoring engineers and leading technical projects from design through production.\r\nNice to Have\r\nExperience building ML data infrastructure, evaluation frameworks, benchmarking systems, or dataset generation pipelines.\r\nExperience with coding agents, AI-assisted software development tools, or developer productivity platforms.\r\nFamiliarity with GitHub APIs, developer ecosystems, CI/CD platforms, or code execution environments.\r\nExperience with workflow orchestration frameworks such as Airflow, Temporal, Dagster, or similar distributed job systems.\r\nExperience building automated testing, grading, or code execution platforms.\r\nBackground working on infrastructure, platform engineering, or developer tooling in high-growth environments.\r\nFamiliarity with LLM evaluation, coding benchmarks, or agentic software engineering systems.\r\nPassion for advancing AI-powered software development through scalable engineering infrastructure.\r\nPerks\r\nHandshake delivers benefits that help you feel supported—and thrive at work and in life.\r\nThe below benefits are for full-time US employees.\r\nOwnership: Equity in a fast-growing company\r\nFinancial Wellness: 401(k) match, competitive compensation, financial coaching\r\nFamily Support: Paid parental leave, fertility benefits, parental coaching\r\nWellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend\r\nGrowth: $2,000 learning stipend, ongoing development\r\nOffice: Commuting support, free lunch, and gym in our SF office\r\nTime Off: Flexible PTO, 15 holidays + 2 flex days\r\nConnection: Team outings & referral bonuses\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:06:58.500Z","dateModified":"2026-08-08T01:06:58.500Z","hiringOrganization":{"@type":"Organization","name":"Apply","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"95b7143d02378a1c28b9760e"},"url":"https://jobsearcher.com/jobs/95b7143d02378a1c28b9760e"}}