{"id":3982742,"url":"https://alion.io/job/true-talent-solutions-partners-lead-platform-engineer-13","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":"explicit","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":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Zero Trust","optional":false}],"status":"closed","first_seen_at":"2026-11-09T17:46:08Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-14T01:37:30Z","board_verified":false,"closed_at":"2026-11-14T01:37:30Z","days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nLead platform engineering for a scientific data infrastructure team building a foundational platform that turns diverse laboratory data into a unified, queryable knowledge base. You will own its architecture, security, and scale while establishing engineering practices and helping grow the team.\nWhat You'll Do\nSet the architectural direction and build production ingestion pipelines, APIs, microservices, and storage layers that normalize heterogeneous data while preserving provenance.\n\nOperate knowledge graphs and vector search systems to support hybrid symbolic and semantic retrieval for agentic workloads.\n\nBuild high-concurrency services in Go and Python, including controlled write boundaries and isolated execution environments.\n\nDesign security controls for service authentication, tenant isolation, secrets, encryption, and zero-trust access.\n\nOwn Kubernetes-based cloud infrastructure, infrastructure as code, CI/CD, observability, SLOs, and internal developer workflows.\n\nSet engineering standards through architecture reviews, code reviews, mentoring, and team building.\n\nPartner with company leadership on engineering hiring and platform team growth.\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 hands-on experience with Kubernetes, Terraform, Ansible, and modern CI/CD systems, alongside dedicated infrastructure engineering experience.\n\nExperience designing ingestion for messy, multi-source data, including schema harmonization and entity resolution.\n\nProficiency in Go and Python or FastAPI, and familiarity with TypeDB/TypeQL, Qdrant, GitHub Actions, OpenTelemetry, and Prometheus.\n\nExperience establishing security boundaries and engineering rigor for production platforms; biotech data experience and SOC 2 or similar compliance experience are beneficial.\n\nCompensation & Benefits\nBase salary: $220,000 to $300,000 annually. Visa sponsorship or transfer is not available.\nLocation\nOn-site in San Francisco, United States, five days per week. 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