Mid-Level Platform Engineer, Biotech
About the Role
Join the platform and data engineering team at an AI-focused biotech startup, building and operating infrastructure for sensitive clinical and biomedical data. Your work will help scientists and machine learning engineers access reliable, model-ready datasets and deploy data and models into partner environments.
What You'll Do
Build and maintain cloud data infrastructure, including Kubernetes clusters, object storage, lakehouse layouts, catalogs, lineage, versioning, and data access systems.
Design and operate data warehouses and lifecycle processes for clinical records, molecular features, metadata, and versioned dataset releases.
Develop reproducible bioinformatics workflows for omics data, using workflow managers such as Nextflow and containerized cloud compute.
Build data quality checks, biological validation, and visualizations that help teams identify issues throughout processing.
Create reliable, versioned interfaces for preparing model-training datasets and delivering data alongside models to partner environments.
Own infrastructure reliability, observability, security, compliance controls, and cost optimization, including CI/CD and workload orchestra
