{"schemaVersion":"jobsearcher.job.v1","id":"e1d8141e56619b8ef9b25164","url":"https://jobsearcher.com/jobs/e1d8141e56619b8ef9b25164","canonicalUrl":"https://jobsearcher.com/jobs/e1d8141e56619b8ef9b25164","title":"Software Engineer - Core Systems","description":"About Us\nWe're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.\n\nRole Overview\nWe're looking for Software Engineers to help us build and operate the core infrastructure that powers Epsilon Health, composed of 3 major components: an ingestion pipeline, a data warehouse / pipeline and a distributed inference system.\nYou'll work across the backend stack, designing services, evolving schemas, improving observability, and keeping production healthy. This isn't a role where you'll own a single microservice. We expect you to understand how the pieces fit together, make thoughtful architectural decisions, and leave the system simpler than you found it.\nWe don't have a separate SRE organization. Reliability, operations, debugging, and capacity planning are part of engineering here. As Epsilon Health grows, one of your most important jobs will be making sure the backend grows without becoming unnecessarily complicated.\nYou'll be working closely with the ML team, lending a hand on ML infrastructure when priorities demand, and you'll do well here if you like owning ambiguous, high-impact problems end to end.\nKey Responsibilities\nDesign, build, and operate infrastructure that deliver reliable end-to-end experiences from data ingestion through model output.\nDesign and implement robust data pipelines and warehouses to collect, process, and store large-scale multimodal medical imaging data from both production traffic and offline sources.\nBuild CI/CD and deployment automation that lets a lean team ship quickly and safely.\nEnsure systems handling PHI are HIPAA-compliant by design, with encryption, access controls, audit logging, and secure data handling throughout.\nBuild model inference pipelines for live and offline traffic, and support ML infrastructure alongside the ML team as needs arise.\nLeading technical design, driving quality through design reviews and testing, and helping set engineering best practices on a lean team.\nQualifications\n6+ years of experience building data infrastructure, storage systems, or related distributed systems\nHave 2+ years of experience leading large scale, complex projects or teams as an engineer or tech lead\nProficiency in a backend language (Go, Python, Java, or similar)\nExperience designing, building, and operating large-scale distributed systems or infrastructure (we use AWS) in production\nStrong problem-solving skills and the ability to troubleshoot complex distributed systems\nCan navigate complex technical tradeoffs between performance, cost, security, and maintainability\nTrack record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems\nPreferred Qualifications\nExperience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy\nProficiency in modern web application technologies for the frontend (e.g., TypeScript, React) with a strong understanding of web architecture\nExperience building and operating HIPAA-compliant systems, or handling PHI and healthcare security requirements\nExperience with large-scale ETL, data lake, or data warehouse systems\nExperience contributing to ML infrastructure or model inference pipelines\nThe anticipated annual base salary for this position is up to $250,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.","company":"Epsilon Labs","rawCompany":"epsilon labs","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T14:05:41.002Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer - Core Systems","description":"About Us\nWe're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.\n\nRole Overview\nWe're looking for Software Engineers to help us build and operate the core infrastructure that powers Epsilon Health, composed of 3 major components: an ingestion pipeline, a data warehouse / pipeline and a distributed inference system.\nYou'll work across the backend stack, designing services, evolving schemas, improving observability, and keeping production healthy. This isn't a role where you'll own a single microservice. We expect you to understand how the pieces fit together, make thoughtful architectural decisions, and leave the system simpler than you found it.\nWe don't have a separate SRE organization. Reliability, operations, debugging, and capacity planning are part of engineering here. As Epsilon Health grows, one of your most important jobs will be making sure the backend grows without becoming unnecessarily complicated.\nYou'll be working closely with the ML team, lending a hand on ML infrastructure when priorities demand, and you'll do well here if you like owning ambiguous, high-impact problems end to end.\nKey Responsibilities\nDesign, build, and operate infrastructure that deliver reliable end-to-end experiences from data ingestion through model output.\nDesign and implement robust data pipelines and warehouses to collect, process, and store large-scale multimodal medical imaging data from both production traffic and offline sources.\nBuild CI/CD and deployment automation that lets a lean team ship quickly and safely.\nEnsure systems handling PHI are HIPAA-compliant by design, with encryption, access controls, audit logging, and secure data handling throughout.\nBuild model inference pipelines for live and offline traffic, and support ML infrastructure alongside the ML team as needs arise.\nLeading technical design, driving quality through design reviews and testing, and helping set engineering best practices on a lean team.\nQualifications\n6+ years of experience building data infrastructure, storage systems, or related distributed systems\nHave 2+ years of experience leading large scale, complex projects or teams as an engineer or tech lead\nProficiency in a backend language (Go, Python, Java, or similar)\nExperience designing, building, and operating large-scale distributed systems or infrastructure (we use AWS) in production\nStrong problem-solving skills and the ability to troubleshoot complex distributed systems\nCan navigate complex technical tradeoffs between performance, cost, security, and maintainability\nTrack record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems\nPreferred Qualifications\nExperience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy\nProficiency in modern web application technologies for the frontend (e.g., TypeScript, React) with a strong understanding of web architecture\nExperience building and operating HIPAA-compliant systems, or handling PHI and healthcare security requirements\nExperience with large-scale ETL, data lake, or data warehouse systems\nExperience contributing to ML infrastructure or model inference pipelines\nThe anticipated annual base salary for this position is up to $250,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.","datePosted":"2026-08-06T14:05:41.002Z","dateModified":"2026-08-06T14:05:41.002Z","hiringOrganization":{"@type":"Organization","name":"Epsilon Labs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e1d8141e56619b8ef9b25164"},"url":"https://jobsearcher.com/jobs/e1d8141e56619b8ef9b25164"}}