# Platform Engineer, Biotech at Clera

Platform Engineer, Biotech at Clera in San Francisco. On-site, full-time, paying $180k–$240k. Posted October 29, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $180k–$240k
- Posted: 2026-10-29
- Apply: https://jobs.ashbyhq.com/clera/db0302f2-721d-42eb-99a6-3ab5bf97868b/application
- Source: https://jobmagic.ai/jobs/platform-engineer-biotech-clera-vt2k46

## Requirements

- Two to five years of experience building data infrastructure and production pipelines in biotech, diagnostics, biobanking, health data, or a related field working with sensitive biological or clinical data.
- Production experience operating Kubernetes, building infrastructure as code with Terraform or similar tools, and designing CI/CD and deployment systems.
- Strong Python and/or Go skills, with experience owning infrastructure reliability, observability, security, and cost optimization.
- Experience with distributed job scheduling and orchestration, large-scale data pipelines, and infrastructure supporting machine learning workloads; GPU clusters or distributed training experience is valuable.
- Familiarity with a major cloud provider, preferably AWS, as well as workflow tools such as Nextflow, lakehouse and warehouse design, data catalogs, and Docker.
- Experience with omics or bioinformatics workflows and biomedical data standards such as OMOP or FHIR is useful. R or SQL experience is a plus.
- Familiarity with compliance controls such as HIPAA, GDPR, or SOC 2 and associated audit evidence is beneficial.

## Description

### About the Role

Join a team building AI and machine learning models for biomedical applications. As a hands-on platform engineer, you will develop and operate the data infrastructure that transforms clinical, genomic, imaging, and other biomedical data into secure, reliable assets for research, model development, and deployment.

### What You'll Do

- Build and maintain cloud data platforms, including object storage, lakehouse layouts, catalogs, lineage, dataset versioning, and query and access layers.

- Design and operate systems for clinical and molecular data, including harmonization, metadata, dataset releases, retention, governance, and data integration.

- Develop reproducible bioinformatics workflows for omics data, using containerized pipelines and cloud batch compute.

- Build data quality checks, biological validation, and visualizations that help teams identify and resolve data issues.

- Deliver training-ready datasets and versioned data releases, plus interfaces for deploying data alongside models in partner environments.

- Operate reliable, secure, observable, and cost-effective production infrastructure, including Kubernetes clusters and distributed workload orchestration.

### What We're Looking For

- Two to five years of experience building data infrastructure and production pipelines in biotech, diagnostics, biobanking, health data, or a related field working with sensitive biological or clinical data.

- Production experience operating Kubernetes, building infrastructure as code with Terraform or similar tools, and designing CI/CD and deployment systems.

- Strong Python and/or Go skills, with experience owning infrastructure reliability, observability, security, and cost optimization.

- Experience with distributed job scheduling and orchestration, large-scale data pipelines, and infrastructure supporting machine learning workloads; GPU clusters or distributed training experience is valuable.

- Familiarity with a major cloud provider, preferably AWS, as well as workflow tools such as Nextflow, lakehouse and warehouse design, data catalogs, and Docker.

- Experience with omics or bioinformatics workflows and biomedical data standards such as OMOP or FHIR is useful. R or SQL experience is a plus.

- Familiarity with compliance controls such as HIPAA, GDPR, or SOC 2 and associated audit evidence is beneficial.

### Compensation & Benefits

Base salary: $180,000 to $240,000 annually. Visa sponsorship is not available.

### Location

Hybrid role based in San Francisco, California. Candidates must be based in or willing to relocate to the area.