Senior / Staff Cloud Platform Engineer (ML)

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.

Position 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

Position Requirements

• 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

Nice To Have

• A strong intellectual curiosity for life sciences
• Experience managing Kubernetes for HPC or ML workloads
• Experience supporting Machine Learning orchestration and queueing frameworks (e.g., Kueue, Ray)
• Experience reading and debugging ML Python code
• Experience implementing compliant cloud architectures (e.g., SOC2, HIPAA, or similar frameworks)
• Familiarity with Golang
• Strong communication skills with a proven ability to guide users through migration

Benefits

The estimated base salary range for this role is $220,000 - $290,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.