{"id":3027648,"url":"https://alion.io/job/true-talent-solutions-partners-lead-platform-engineer-7","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":null,"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":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","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":"live","first_seen_at":"2026-10-21T18:46:19Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T06:27:45Z","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 data infrastructure and analytics team as its senior engineering anchor. You will shape and scale a foundational platform that brings complex scientific data together for use by scientists and AI agents.\nWhat You'll Do\nOwn the platform architecture, delivery, security posture, and scaling strategy.\n\nBuild and operate ingestion pipelines, APIs, microservices, and storage systems that normalize scientific data while preserving provenance.\n\nManage knowledge graphs and vector search to support hybrid symbolic and semantic 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, encryption, and zero-trust access.\n\nOwn cloud infrastructure, CI/CD, and observability, and establish SLOs and developer workflows.\n\nSet engineering standards through architecture guidance, code reviews, and mentorship, while helping grow the platform team.\n\nPartner with company leaders on engineering team design and recruiting.\n\nWhat We're Looking For\nThree to seven years of platform or infrastructure engineering experience, with a track record building production backend infrastructure, data platforms, or distributed systems.\n\nDedicated infrastructure engineering experience in addition to software engineering.\n\nStrong proficiency with Kubernetes, Terraform, Ansible, and modern CI/CD systems.\n\nExperience designing ETL or ELT pipelines for complex, unstructured enterprise or scientific data.\n\nExperience with Go, Python, FastAPI, TypeDB/TypeQL, Qdrant, GitHub Actions, OpenTelemetry, and Prometheus.\n\nExperience with computational biology, biotech data systems, or compliance frameworks such as SOC 2 is a plus.\n\nCompensation & Benefits\nBase salary: $220,000 to $300,000 annually. Visa sponsorship or transfer is not available.\nLocation\nOn-site, five days per week in San Francisco, California. 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