Senior Cloud Platform Engineer — ML Infra & GCP Expert

Calico Life Sciences; South San Francisco (CA); On-site; USD 220,000 - 290,000; Full time

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 design infrastructure-as-code, secure perimeters, automate identity management, and migrate workflows into a unified, compliant infrastructure so researchers can train and deploy ML models.

This role emphasizes DevSecOps, platform modernization, and enabling scientists while ensuring stringent security.

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

• Foundational Impact: Deliver our next-generation ML platform.
• Lead the consolidation and modernization of our compute environments, and accelerate the whole company's R&D cycle.
• GCP Foundation: Lead the centralization of GCP projects into a unified, compliant landing zone.
• Design secure perimeters to protect sensitive biological data, and build automated guardrails using Terraform.
• GKE Cluster Administration: 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.
• Developer Experience & Onboarding: Design intuitive onboarding processes and "paved paths" for scientists to seamlessly onboard onto the new platform.
• FinOps: Manage org-level GPU/TPU compute capacity, implement centralized billing and cost reporting, and build comprehensive monitoring dashboards to track cluster utilization and optimize R&D expenditure.

Skills

Python

Education

BS/MS with 7+ years or PhD with 4+ years in relevant software engineering, DevSecOps, or Cloud architecture

Tools

GCP core services

Kubernetes

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 design infrastructure-as-code, secure perimeters, automate identity management, and migrate workflows into a unified, compliant infrastructure so researchers can train and deploy ML models.

This role emphasizes DevSecOps, platform modernization, and enabling scientists while ensuring stringent security.