Platform Engineer – Biotech Data & ML Infra

Devopsroles; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Devopsroles is seeking a platform and data infrastructure engineer to build and operate the cloud data stack for our AI-focused biotech startup. You will enable scientists and ML engineers to access reliable, model-ready datasets and deploy data and models into partner environments.

You will own Kubernetes clusters, data warehousing, and reproducible bioinformatics workflows with Nextflow and containerized cloud compute, enforce data quality and security, and drive cost optimization across CI/CD

Qualifications

• 2–5 years building data infrastructure and production pipelines in biotech or health data.
• Experience with Kubernetes, Terraform, CI/CD, and deploying data pipelines.
• Strong Python and/or Go programming with clean, tested code.
• Experience with AWS and large-scale data pipelines.
• Familiarity with Nextflow, Docker, lakehouse/warehouse design.
• HIPAA/GDPR/SOC 2 controls knowledge; SQL knowledge helpful.

Responsibilities

• Build and maintain cloud data infrastructure, including Kubernetes clusters and data catalogs.
• Design and operate data warehouses and lifecycle processes for clinical data.
• Develop reproducible bioinformatics workflows using Nextflow and containerized compute.
• Build data quality checks and visualizations to identify issues.
• Create interfaces for preparing model-training datasets and delivering data to partners.
• Own reliability, observability, security, governance, and cost optimization, including CI/CD.

Skills

Python

Go

R

SQL

Tools

Kubernetes

Terraform

CI/CD

Nextflow

Docker

AWS

Job description

Devopsroles is seeking a platform and data infrastructure engineer to build and operate the cloud data stack for our AI-focused biotech startup. You will enable scientists and ML engineers to access reliable, model-ready datasets and deploy data and models into partner environments.

You will own Kubernetes clusters, data warehousing, and reproducible bioinformatics workflows with Nextflow and containerized cloud compute, enforce data quality and security, and drive cost optimization across CI/CD