{"id":3018841,"url":"https://alion.io/job/clera-platform-engineer-biotech","title":"Platform Engineer, Biotech","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-27T05:46:45Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","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":180000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FHIR","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-21T17:12:19Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-27T08:04:54Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Role\nJoin a team building cloud infrastructure for biomedical data and machine learning. You will develop and operate secure, reliable platforms and pipelines that make clinical and biological data usable for research and model deployment.\nWhat You'll Do\nBuild and maintain cloud data platforms, including storage, lakehouse architecture, catalogs, lineage, dataset versioning, and access layers.\n\nDesign and operate Kubernetes clusters, infrastructure-as-code systems, CI/CD pipelines, and deployment systems for production workloads.\n\nCreate and maintain reproducible bioinformatics pipelines for genomics, proteomics, and other biomedical data using workflow tools and cloud batch compute.\n\nBuild data quality checks, biological validation, and visualizations that help teams identify issues in datasets and pipeline outputs.\n\nDevelop orchestration and scheduling for distributed workloads, and prepare versioned datasets for model training and partner deployment.\n\nOwn infrastructure reliability, observability, security, and cost optimization, including support for GPU and distributed machine learning workloads.\n\nWhat We're Looking For\nTwo to five years of experience building data infrastructure and production pipelines, ideally in biotech, diagnostics, biobanking, health data, or a related field.\n\nProduction experience operating Kubernetes clusters and building infrastructure as code with Terraform or similar tools.\n\nStrong Python and/or Go programming skills, with experience shipping tested, documented production code.\n\nExperience designing CI/CD and deployment systems, and building orchestration or scheduling for distributed workloads.\n\nFamiliarity with AWS or another major cloud provider, Docker, Nextflow or similar workflow managers, lakehouses, data warehouses, and data catalogs.\n\nExperience with sensitive clinical or biological data and standards such as OMOP or FHIR is valuable; R and SQL are also useful.\n\nExperience with GPU infrastructure, distributed training, or large-scale data pipelines is a plus.\n\nBased in San Francisco or willing to relocate.\n\nCompensation & Benefits\nBase salary: $180,000 to $240,000 annually. 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