Platform Engineer, Biotech
About the Role
Join a team building cloud infrastructure for biomedical data and machine learning. You will develop and operate secure, reliable platforms and pipelines that make clinical and biological data usable for research and model deployment.
What You'll Do
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.
