Clera

Platform Engineer, Biotech

San Francisco
Salary
$180,000 - $240,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Not offered

Open. First seen 29 October 2026.

Apply on the company's site →

About the role

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.

What this role asks for

Particular to this role

Golang · SQL

Rare in Clera's other 208 open postings.

Standard for DevOps / SRE / cloud roles

AWS · CI/CD · Docker · Kubernetes · Python · Terraform

Common in DevOps / SRE / cloud postings at any company.

Compared with Clera's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 207 open in Engineering. 141 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (102 of 207), TypeScript (90 of 207), Python (82 of 207), React (77 of 207), Machine Learning (45 of 207), Supabase (37 of 207), JavaScript (36 of 207)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

Posting history

Reposted once since 21 October 2026: a posting for this role in San Francisco was taken down and the role was posted again.

  • 29 October 2026 – open (this posting)
  • 21 October 2026 – closed 28 October 2026

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