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 6 November 2026.

About the role

About the Role

Join a biotech AI team building data infrastructure that turns clinical, genomic, imaging, and other biomedical data into reliable, model-ready assets. You will help design and operate the platform, with a focus on secure, governed data systems and production infrastructure for scientific and machine learning teams.

What You'll Do

  • Build and maintain cloud data platform components, including object storage, lakehouse architecture, catalogs, lineage, dataset versioning, and query and access layers.
  • Design and operate data warehouses and governed systems for clinical records, molecular features, metadata, retention, and dataset releases.
  • Develop reproducible bioinformatics workflows for omics data, using containerized pipelines and cloud batch compute.
  • Implement data quality checks, biological validation, and visualizations that help teams identify issues across processing steps.
  • Deliver versioned, training-ready datasets and data deployment interfaces for model use in partner environments.
  • Operate production infrastructure, including Kubernetes, CI/CD, workload orchestration, security, reliability, observability, and cost optimization.

What We're Looking For

  • Two to five years of experience building data infrastructure and production pipelines as a platform engineer in biotech, diagnostics, biobanking, health data, or a related field working with sensitive biological or clinical data.
  • Production experience operating Kubernetes clusters, writing infrastructure as code with Terraform or similar tools, and shipping tested, documented Python and/or Go code.
  • Experience designing CI/CD and deployment systems, orchestrating distributed workloads, and owning infrastructure reliability, observability, security, and cost.
  • Familiarity with a major cloud provider, preferably AWS, plus Docker, workflow managers such as Nextflow, lakehouse and warehouse design, data catalogs, and orchestration.
  • Experience with large-scale data pipelines, machine learning infrastructure, or GPU workloads is valuable. Knowledge of omics workflows, bioinformatics tools, OMOP, FHIR, R, or SQL is also relevant.
  • Experience implementing compliance controls and audit evidence for standards such as HIPAA, GDPR, or SOC 2 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 local or willing to relocate.

What this role asks for

Particular to this role

Data Warehousing · Golang · SQL

Rare in Clera's other 182 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 357 open in Engineering. 225 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 (181 of 357), TypeScript (179 of 357), React (155 of 357), Python (150 of 357), Machine Learning (75 of 357), Supabase (73 of 357), PostgreSQL (69 of 357)

OTHER ROLES ON THIS TEAM

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

Posting history

Reposted 2 times since 21 October 2026: a posting for this role in San Francisco was taken down and the role was posted again.

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