Cloud Platform Engineer
US$220,000 – US$290,000 / yr base salary
Posted 15 Jul 2026
Advertised as “Senior / Staff Cloud Platform Engineer (ML)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
| Base salary | US$220,000 – US$290,000 / yr |
|---|
Study levelBachelor's or higher
Who We Are:
Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
Position Description:
Calico seeks a Senior / Staff Cloud Engineer to lead the execution and operation of our next-generation machine learning (ML) platform. As the technical authority for our Google Cloud Platform (GCP) environment, you will build infrastructure-as-Code (IaC), design secure perimeters, automate identity management, and migrate existing workflows into a unified, compliant infrastructure.
If you are passionate about DevSecOps, IaC, and building "paved paths" that empower scientists while enforcing rigorous security, this is the role for you. You will be the critical bridge that allows our ML Systems and Research engineers to train and deploy ML models for frontier BioML research.
Please note: No biology or life sciences background is required for this role.
Position Responsibilities:
You will work with a team of researchers and engineers on Calico’s key strategic cross-functional initiatives through the following responsibilities:
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Foundational Impact:
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Deliver our next-generation ML platform
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Lead the consolidation and modernization of our compute environments, and accelerate the whole company's R&D cycle
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GCP Foundation:
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Lead the centralization of GCP projects into a unified, compliant landing zone
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Design secure perimeters to protect sensitive biological data, and build automated guardrails using Terraform
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GKE Cluster Administration:
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Design, deploy, and maintain robust GKE clusters tailored for distributed ML training and batch processing workloads
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Troubleshoot node-level GPU/TPU issues, manage scheduling add-ons, and optimize cluster autoscaling
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Developer Experience & Onboarding: