{"id":3111882,"url":"https://alion.io/job/true-talent-solutions-partners-senior-software-engineer-core-systems-3","title":"Senior Software Engineer, Core Systems","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":215000,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Go","optional":false},{"name":"HIPAA","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-22T17:39:25Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-26T05:04:19Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Role\nJoin a small engineering team building backend infrastructure for an AI-enabled radiology service. You will own core systems spanning data pipelines, warehousing, and distributed model inference, helping support healthcare services where reliability and responsible handling of sensitive data are essential.\nWhat You'll Do\nDesign, build, and operate backend infrastructure across data ingestion, warehousing, and distributed model inference on AWS.\n\nOwn reliability, observability, debugging, and capacity planning across the stack.\n\nBuild CI/CD and deployment automation that helps the team ship safely and efficiently.\n\nDesign systems handling protected health information with encryption, access controls, and audit logging.\n\nWork with the ML team on infrastructure and model inference pipelines as priorities evolve.\n\nWhat We're Looking For\nAt least 5 years of experience in data infrastructure, backend engineering, or distributed systems, with production experience operating large-scale systems.\n\nProficiency in Go, Python, or Java, and hands-on experience with AWS or a comparable cloud platform.\n\nDepth in data infrastructure, including large-scale pipelines, ETL, warehouses or data lakes, and schema evolution.\n\nExperience with CI/CD, deployment automation, and troubleshooting distributed systems, including performance, cost, security, and maintainability tradeoffs.\n\nTrack record leading multi-quarter technical initiatives across systems or teams, along with experience in a high-quality engineering environment.\n\nStartup or startup-like experience is useful. Familiarity with ML infrastructure, model inference, HIPAA-compliant systems, TypeScript, or React is a plus.\n\nA STEM degree or strong computer science fundamentals.\n\nCompensation & Benefits\nBase salary: $215,000 to $275,000 annually. 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