{"id":4296882,"url":"https://alion.io/job/true-talent-solutions-partners-lead-platform-engineer-16","title":"Lead Platform Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","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":220000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Go","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-11-14T00:46:32Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T01:37:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin the platform engineering team at a data infrastructure company building tools that turn fragmented laboratory data into a unified, queryable resource for scientists and AI systems. As the senior engineering anchor, you will shape the architecture, security, and scale of this foundational platform.\nWhat You'll Do\nOwn the platform's architecture, execution, security posture, and scaling strategy.\n\nBuild and maintain production ingestion pipelines, APIs, microservices, and storage layers that normalize diverse scientific data while preserving provenance.\n\nManage knowledge graphs and vector search systems to support combined semantic and structured retrieval.\n\nDevelop high-concurrency services in Go and Python, including controlled agent write boundaries and isolated execution environments.\n\nDesign security controls for service authentication, tenant isolation, secrets management, encryption, and zero-trust access.\n\nOwn cloud infrastructure, CI/CD, and observability, and establish service-level objectives and internal developer workflows.\n\nSet engineering standards, review code, mentor teammates, and help grow the platform engineering team.\n\nPartner with company leadership on team design, interviewing, and recruiting as the organization scales.\n\nWhat We're Looking For\nAt least 5 years of platform or infrastructure engineering experience, with a track record building and operating production backend infrastructure, data platforms, or distributed systems.\n\nStrong experience with Kubernetes, Terraform, Ansible, and modern CI/CD systems.\n\nExperience owning ingestion for messy, multi-source data, including schema harmonization and entity resolution.\n\nProficiency with Go and Python or FastAPI, plus experience with knowledge graphs or vector search technologies.\n\nExperience designing production security boundaries and establishing engineering practices, observability, and service-level objectives.\n\nDedicated infrastructure engineering experience in addition to software engineering; biotech data systems, computational biology, and SOC 2 or similar compliance experience are a plus.\n\nCompensation & Benefits\nBase salary range: $220,000 to $300,000 annually. Equity is not specified. Visa sponsorship or transfer is not available.\nLocation\nOn-site in San Francisco, California, five days per week. 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