{"id":3882863,"url":"https://alion.io/job/clera-platform-engineer-biotech-3","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":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-07T05:47:08Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","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":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-06T17:11:02Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T20:25:37Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin a biotech AI team building data infrastructure that turns clinical, genomic, imaging, and other biomedical data into reliable, model-ready assets. You will help design and operate the platform, with a focus on secure, governed data systems and production infrastructure for scientific and machine learning teams.\nWhat You'll Do\nBuild and maintain cloud data platform components, including object storage, lakehouse architecture, catalogs, lineage, dataset versioning, and query and access layers.\n\nDesign and operate data warehouses and governed systems for clinical records, molecular features, metadata, retention, and dataset releases.\n\nDevelop reproducible bioinformatics workflows for omics data, using containerized pipelines and cloud batch compute.\n\nImplement data quality checks, biological validation, and visualizations that help teams identify issues across processing steps.\n\nDeliver versioned, training-ready datasets and data deployment interfaces for model use in partner environments.\n\nOperate production infrastructure, including Kubernetes, CI/CD, workload orchestration, security, reliability, observability, and cost optimization.\n\nWhat We're Looking For\nTwo to five years of experience building data infrastructure and production pipelines as a platform engineer in biotech, diagnostics, biobanking, health data, or a related field working with sensitive biological or clinical data.\n\nProduction experience operating Kubernetes clusters, writing infrastructure as code with Terraform or similar tools, and shipping tested, documented Python and/or Go code.\n\nExperience designing CI/CD and deployment systems, orchestrating distributed workloads, and owning infrastructure reliability, observability, security, and cost.\n\nFamiliarity with a major cloud provider, preferably AWS, plus Docker, workflow managers such as Nextflow, lakehouse and warehouse design, data catalogs, and orchestration.\n\nExperience with large-scale data pipelines, machine learning infrastructure, or GPU workloads is valuable. Knowledge of omics workflows, bioinformatics tools, OMOP, FHIR, R, or SQL is also relevant.\n\nExperience implementing compliance controls and audit evidence for standards such as HIPAA, GDPR, or SOC 2 is beneficial.\n\nCompensation & Benefits\nBase salary: $180,000 to $240,000 annually. Visa sponsorship is not available.\nLocation\nHybrid role based in San Francisco, California. 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