Senior Deployment Automation Engineer - GPU Clusters

US Health Partners, LLC; San Francisco (CA); On-site; USD 170,000 - 205,000; Full time

Benefits offered by this job

Competitive compensation

RSUs

Paid time off

Health insurance

HSA contributions

Parental leave

Life insurance

Tuition reimbursement

Mental health support

Commuter benefits

Cell phone stipend

401(k) match

Volunteer time off

Travel insurance

Meals allowance

Job summary

Crusoe is seeking a Senior Deployment Automation Engineer to automate deployment and testing for large-scale GPU clusters across Crusoe’s AI Cloud. You will build CI/CD infrastructure, implement canary deployments, and ensure live system stability across datacenters.

You will design validation tests for multi-node scaling, maintain bare-metal Linux configurations, and work with Kubernetes, Docker, Terraform, and Postgres in a distributed cloud environment.

Qualifications

• 5+ years of relevant experience.
• Experience building automated integration testing.
• End-to-end microservice deployments in distributed Cloud environment.
• Understanding cloud resource abstraction in IaaS.
• Knowledge of Kubernetes, Docker, Terraform, and Postgres.
• CI/CD pipelines and GitLab tooling.
• Configuration management with Ansible, Puppet, Chef, or SaltStack.
• Linux kernel internals: PCIe, VFIO, memory management.

Responsibilities

• Deployment and Integration Testing: develop apps for deployment and integration testing on bare-metal, on‑premise Crusoe AI Cloud Stack.
• CI/CD Automation: build CI/CD platforms to enable rapid testing and deployment of low‑level systems across datacenters.
• Multi‑Node Scaling Validation: design and run large‑scale tests across multi‑node virtualized clusters for stable GPU workloads.
• Configuration Management and Observability: maintain Linux configurations using tools like GitLab, Ansible, etc.
• Deployment Orchestration: create control apps for canary deployments, blue/green tests, and safe rollback.
• Cluster Orchestration: develop frameworks in Python/Go to provision/configure multi-node environments.
• Automated tests: use fio, stress-ng, iperf to ensure performance and isolation.

Skills

5+ years experience

Cloud infrastructure

Kubernetes

CI/CD

Linux

Python/Go

Ansible

Terraform

Postgres

Education

BS/MS in CS/EE

Tools

Kubernetes

Docker

Terraform

Postgres

GitLab

Ansible

Job description

Crusoe is seeking a Senior Deployment Automation Engineer to automate deployment and testing for large-scale GPU clusters across Crusoe’s AI Cloud. You will build CI/CD infrastructure, implement canary deployments, and ensure live system stability across datacenters.

You will design validation tests for multi-node scaling, maintain bare-metal Linux configurations, and work with Kubernetes, Docker, Terraform, and Postgres in a distributed cloud environment.