Senior ML Cloud Platform Engineer (GCP) | DevSecOps

Calico Life Sciences

South San Francisco (CA)

On-site

USD 220,000 - 290,000

Full time

26 hours ago
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Benefits offered by this job

Two annual cash bonuses

Job summary

Calico Life Sciences seeks a Senior / Staff Cloud Engineer to lead the execution and operation of our next-generation ML platform on Google Cloud. You will serve as the technical authority for the GCP environment, building IaC, securing perimeters, and migrating workflows into a unified, compliant infrastructure.

You will bridge ML Systems and Research engineers to train and deploy ML models for frontier BioML research, with no biology background required for the role.

Qualifications

  • BS/MS with 7+ years or PhD with 4+ years of relevant software engineering, DevSecOps, or Cloud architecture experience.
  • Strong programming skills in Python.
  • Strong hands-on experience with Google Cloud Platform (GCP) core services.
  • Experience with Kubernetes cluster administration.
  • Experience with Terraform, building CI/CD pipelines, and containerization (Docker).
  • Must be willing to work onsite at least four days a week.

Responsibilities

  • Deliver our next-generation ML platform.
  • Lead the consolidation and modernization of our compute environments, and accelerate the whole company's R&D cycle.
  • Lead the centralization of GCP projects into a unified, compliant landing zone.
  • Design secure perimeters to protect sensitive data, and build automated guardrails using Terraform.
  • Design, deploy, and maintain robust GKE clusters tailored for distributed ML training and batch processing workloads.
  • Troubleshoot node-level GPU/TPU issues, manage scheduling add-ons, and optimize cluster autoscaling.
  • Design onboarding processes and "paved paths" for scientists to onboard onto the new platform.
  • Manage org-level GPU/TPU compute capacity, implement centralized billing and cost reporting, and build dashboards to track cluster utilization and optimize R&D expenditure.

Skills

Python
GCP
Kubernetes
Terraform
Docker
CI/CD

Education

BS/MS or PhD in a relevant field

Tools

GCP Core Services
Terraform
Docker
CI/CD pipelines

Job description

Calico Life Sciences seeks a Senior / Staff Cloud Engineer to lead the execution and operation of our next-generation ML platform on Google Cloud. You will serve as the technical authority for the GCP environment, building IaC, securing perimeters, and migrating workflows into a unified, compliant infrastructure.

You will bridge ML Systems and Research engineers to train and deploy ML models for frontier BioML research, with no biology background required for the role.

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