Platform Engineer, Biotech

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• Hybrid in San Francisco, California, United States.

Qualifications

• Two to five years of experience building data infrastructure and production pipelines, ideally in biotech, diagnostics, biobanking, health data, or a related field.
• Production experience operating Kubernetes clusters and building infrastructure as code with Terraform or similar tools.
• Strong Python and/or Go programming skills, with experience shipping tested, documented production code.
• Experience designing CI/CD and deployment systems, and building orchestration or scheduling for distributed workloads.
• Familiarity with AWS or another major cloud provider, Docker, Nextflow or similar workflow managers, lakehouses, data warehouses, and data catalogs.
• Experience with sensitive clinical or biological data and standards such as OMOP or FHIR is valuable; R and SQL are also useful.
• Based in San Francisco or willing to relocate.
• Compensation & Benefits
• Base salary: $180,000 to $240,000 annually. Visa sponsorship is not available.
• Location
• Hybrid in San Francisco, California, United States.

Preferred Qualifications

• Experience with GPU infrastructure, distributed training, or large-scale data pipelines is a plus.

Responsibilities

• Build and maintain cloud data platforms, including storage, lakehouse architecture, catalogs, lineage, dataset versioning, and access layers.
• Design and operate Kubernetes clusters, infrastructure-as-code systems, CI/CD pipelines, and deployment systems for production workloads.
• Create and maintain reproducible bioinformatics pipelines for genomics, proteomics, and other biomedical data using workflow tools and cloud batch compute.
• Build data quality checks, biological validation, and visualizations that help teams identify issues in datasets and pipeline outputs.
• Develop orchestration and scheduling for distributed workloads, and prepare versioned datasets for model training and partner deployment.
• Own infrastructure reliability, observability, security, and cost optimization, including support for GPU and distributed machine learning workloads.
• Two to five years of experience building data infrastructure and production pipelines, ideally in biotech, diagnostics, biobanking, health data, or a related field.
• Production experience operating Kubernetes clusters and building infrastructure as code with Terraform or similar tools.
• Strong Python and/or Go programming skills, with experience shipping tested, documented production code.
• Experience designing CI/CD and deployment systems, and building orchestration or scheduling for distributed workloads.
• Familiarity with AWS or another major cloud provider, Docker, Nextflow or similar workflow managers, lakehouses, data warehouses, and data catalogs.
• Experience with sensitive clinical or biological data and standards such as OMOP or FHIR is valuable; R and SQL are also useful.
• Experience with GPU infrastructure, distributed training, or large-scale data pipelines is a plus.
• Based in San Francisco or willing to relocate.
• Base salary: $180,000 to $240,000 annually. Visa sponsorship is not available.
• Hybrid in San Francisco, California, United States.