5 hours ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$180k - $240k/yr
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 production deployment systems.
- Create 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 for 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 GPU and distributed machine learning workloads.
Requirements
- 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 and 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.
Benefits
- Base salary is $180,000 to $240,000 annually.
- Hybrid work in San Francisco, California.
- Visa sponsorship is not available.