{"id":4225126,"url":"https://alion.io/job/true-talent-solutions-partners-lead-platform-engineer-15","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":["South San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":205000,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Celery","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-13T01:19:32Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T01:36:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the Role\nLead platform engineering for the compute, data, AI, and security infrastructure behind a biotechnology sequencing operation. You will work across software and scientific teams to build reliable systems that support lab operations and large-scale bioinformatics.\nWhat You'll Do\nOwn services that orchestrate lab devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline.\n\nBuild cloud infrastructure and data pipelines to store, process, and deliver large volumes of sequencing data.\n\nDesign systems for orchestrating bioinformatics tasks, including queues, workflow orchestration, and scheduling.\n\nDevelop infrastructure and internal tools for AI agents that monitor operational quality, coordinate logistics, and support adaptive bioinformatics analysis.\n\nLead cross-functional projects from problem definition through production, while contributing hands-on to implementation.\n\nWhat We're Looking For\nAt least 5 years of platform, backend, or infrastructure engineering experience, including ownership of production systems at a scaling startup.\n\nStrong AWS orchestration experience with ECS, Batch, or Step Functions, plus Python backend development using frameworks such as FastAPI or Django.\n\nExperience designing reliable distributed systems, including queues, workflow orchestration, and state machines, and operating Linux servers and task queues such as Celery or SQS.\n\nExperience leading or mentoring engineers, or a strong individual-contributor track record, with hands-on work making up a substantial part of your role.\n\nAbility to lead broad, cross-functional projects and connect architecture decisions to business impact.\n\nExperience building LLM or agent systems, including tools, evaluation, permissions, prompts, or workflows, is beneficial.\n\nA degree in computer science, engineering, math, physics, or equivalent technical experience, and curiosity about scientific or biotech domains.\n\nCompensation & Benefits\nBase salary: $205,000 to $235,000 annually. 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