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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 21 October 2026.

Apply on the company's site →

About the role

About the Role

Join a team building cloud infrastructure for biomedical data and machine learning. You will develop and operate secure, reliable platforms and pipelines that make clinical and biological data usable for research and model deployment.

What You'll Do

  • Build and maintain cloud data platforms, including storage, lakehouse architecture, catalogs, lineage, dataset versioning, and access layers.
  • Design and operate Kubernetes clusters, infrastructure-as-code systems, CI/CD pipelines, and deployment systems for production workloads.
  • Create and maintain reproducible bioinformatics pipelines for genomics, proteomics, and other biomedical data using workflow tools and cloud batch compute.
  • Build data quality checks, biological validation, and visualizations that help teams identify issues in datasets and pipeline outputs.
  • Develop orchestration and scheduling for distributed workloads, and prepare versioned datasets for model training and partner deployment.
  • Own infrastructure reliability, observability, security, and cost optimization, including support for GPU and distributed machine learning workloads.

What We're Looking For

  • Two to five years of experience building data infrastructure and production pipelines, ideally in biotech, diagnostics, biobanking, health data, or a related field.
  • Production experience operating Kubernetes clusters and building infrastructure as code with Terraform or similar tools.
  • Strong Python and/or Go programming skills, with experience shipping tested, documented production code.
  • Experience designing CI/CD and deployment systems, and building orchestration or scheduling for distributed workloads.
  • Familiarity with AWS or another major cloud provider, Docker, Nextflow or similar workflow managers, lakehouses, data warehouses, and data catalogs.
  • Experience with sensitive clinical or biological data and standards such as OMOP or FHIR is valuable; R and SQL are also useful.
  • Experience with GPU infrastructure, distributed training, or large-scale data pipelines is a plus.
  • Based in San Francisco or willing to relocate.

Compensation & Benefits

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

Location

Hybrid in San Francisco, California, United States.

What this role asks for

Particular to this role

Data Warehousing · Golang · SQL

Rare in Clera's other 299 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 385 open in Engineering. 319 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 (162 of 385), Python (160 of 385), TypeScript (151 of 385), React (122 of 385), Machine Learning (92 of 385), PostgreSQL (70 of 385), JavaScript (66 of 385)

OTHER ROLES ON THIS TEAM

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

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