Platform Engineer, Biotech

ABOUT THE ROLE Join 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. WHAT YOU'LL DO - Build and maintain cloud data platform components, including object storage, lakehouse architecture, catalogs, lineage, dataset versioning, and query and access layers. - Design and operate data warehouses and governed systems for clinical records, molecular features, metadata, retention, and dataset releases. - Develop reproducible bioinformatics workflows for omics data, using containerized pipelines and cloud batch compute. - Implement data quality checks, biological validation, and visualizations that help teams identify issues across processing steps. - Deliver versioned, training-ready datasets and data deployment interfaces for model use in partner environments. - Operate production infrastructure, including Kubernetes, CI/CD, workload orchestration, security, reliability, observability, and cost optimization. WHAT WE'RE LOOKING FOR - Two 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. - Production experience operating Kubernetes clusters, writing infrastructure as code with Terraform or similar tools, and shipping tested, documented Python and/or Go code. - Experience designing CI/CD and deployment systems, orchestrating distributed workloads, and owning infrastructure reliability, observability, security, and cost. - Familiarity with a major cloud provider, preferably AWS, plus Docker, workflow managers such as Nextflow, lakehouse and warehouse design, data catalogs, and orchestration. - Experience 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. - Experience implementing compliance controls and audit evidence for standards such as HIPAA, GDPR, or SOC 2 is beneficial. COMPENSATION & BENEFITS Base salary: $180,000 to $240,000 annually. Visa sponsorship is not available. LOCATION Hybrid role based in San Francisco, California. Candidates must be local or willing to relocate.