Mid-Level Platform Engineer, Biotech

12 hours ago

Base Salary

$180k - $240k/yr

Responsibilities

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 and containerized cloud compute.
Build data quality checks, biological validation, and visualizations for identifying processing issues.
Create reliable, versioned interfaces for preparing model-training datasets and delivering data with models to partner environments.
Own infrastructure reliability, observability, security, compliance controls, cost optimization, CI/CD, and workload orchestration.

Two to five years of experience building data infrastructure and production pipelines in biotech, diagnostics, biobanking, or health data involving sensitive or biological information.
Production experience building and operating Kubernetes clusters, writing infrastructure as code with Terraform or similar tools, and designing CI/CD and deployment systems.
Strong production programming skills in Python and/or Go, with clean, tested, documented code and effective code review practices.
Experience with a major cloud provider, preferably AWS, distributed job orchestration, and large-scale data pipelines.
Familiarity with lakehouse and warehouse design, data catalogs, Docker, and workflow managers such as Nextflow.
Experience with GPU or machine learning infrastructure, distributed training, omics workflows, or clinical data standards such as OMOP and FHIR is valuable.
Knowledge of HIPAA, GDPR, or SOC 2 controls and audit practices is beneficial; R or SQL experience is also useful.