Platform Bioinformatician

Responsibilities

• Build and operate cloud data infrastructure, including object storage, lakehouse architecture, catalogs, lineage, versioning, and access layers.
• Design and maintain governed data warehouses for clinical records, molecular features, metadata, and versioned dataset releases.
• Develop reproducible whole-genome sequencing, RNA sequencing, and proteomics pipelines using containerized workflows and cloud batch compute.
• Implement data quality checks, biological validation, and visualizations across processing steps.
• Prepare training-ready dataset releases and build data deployment interfaces for models used in partner environments.
• Operate production cloud infrastructure, Kubernetes clusters, CI/CD systems, and distributed workload orchestration with attention to reliability, security, observability, and cost.

Requirements

• 5+ years of experience in platform, infrastructure, or site reliability engineering, including operating cloud infrastructure in a high-growth startup or technically demanding environment.
• Deep AWS or GCP experience, including production Kubernetes, and experience with Terraform or similar infrastructure-as-code tools.
• Production programming experience in Python and/or Go, plus experience designing CI/CD pipelines and deployment systems.
• Experience building job orchestration or scheduling systems for distributed workloads; GPU or machine learning infrastructure experience is a plus.
• Familiarity with biological, clinical, or other sensitive data and production data pipelines.
• Experience with Nextflow or similar workflow managers, lakehouse and warehouse design, data catalogs, Docker, and cloud batch compute is relevant.
• Python, R, SQL, and familiarity with standards such as OMOP or FHIR are useful.

Benefits

• Visa sponsorship is not available.
• The position is on-site in San Francisco, California, United States.