Biotech Platform Engineer - Cloud Data & ML Pipelines

Clera Labs, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Clera Labs, Inc. is building cloud infrastructure for biomedical data and machine learning, developing and operating secure, reliable platforms and reproducible pipelines to enable research and model deployment.

You will design and run Kubernetes clusters, infrastructure-as-code, CI/CD pipelines, and production deployment systems for scalable workloads, while creating data quality checks and visualizations to surface issues in datasets and outputs.

Qualifications

• Two to five years of experience building data infrastructure and production pipelines in biotech, diagnostics, biobanking, health data, or related fields.

Responsibilities

• Build and maintain cloud data platforms, including storage, lakehouse architecture, catalogs, lineage, dataset versioning, and access layers.

Skills

Kubernetes

Terraform

Python

Go

CI/CD

Docker

AWS

Nextflow

SQL

R

Tools

Terraform

Docker

Nextflow

Job description

Clera Labs, Inc. is building cloud infrastructure for biomedical data and machine learning, developing and operating secure, reliable platforms and reproducible pipelines to enable research and model deployment.

You will design and run Kubernetes clusters, infrastructure-as-code, CI/CD pipelines, and production deployment systems for scalable workloads, while creating data quality checks and visualizations to surface issues in datasets and outputs.