Senior Staff Deployment Automation Engineer

Role description

Role Overview

As a Senior Staff/Principal Deployment Automation Engineer for the Compute Team, you will be responsible for deployment and testing automation of large-scale, multi-node GPU clusters. You will own the CI/CD infrastructure, including both deployment and integration testing, for a rapidly scaling fleet of virtualized GPU and CPU hosts across our AI Cloud. Your role is critical in ensuring the stability of the low-level infrastructure and enabling teams across our Cloud Infrastructure organization to quickly and reliably release, test, and deploy their artifacts across our datacenters.

What You Will Do

Deployment and Integration Testing Ownership: Completely own deployment and integration testing automation for all bare-metal, on-premise systems across Crusoe’s AI Cloud Stack. CI/CD Automation and Tooling: Build CI/CD platforms that enable developers to quickly test, iterate, and deploy critical, low-level systems and applications. Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads.

Why It Might Be a Fit

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

Requirements

• 12+ YOE demonstrated ability to competently and independently perform responsibilities
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field
• Experience building and deploying automated integration testing for an AI Cloud Environment
• Working knowledge of the modern infrastructure stack, including Kubernetes, Docker, Terraform, and Postgres
• CI/CD & Gitlab: Intimate knowledge of CI/CD pipelines and Gitlab Tooling
• Configuration Management: Previous experience with at least 1-2 configuration management systems
• Automation & Scripting: Advanced proficiency in Python and/or Bash
• System Internals: Knowledge of Linux kernel internals
• Distributed GPU Ecosystems: Familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks
• Networking Knowledge: Strong understanding of RDMA, RoCE, and InfiniBand protocols

Benefits

• Competitive compensation and equity packages
• Restricted Stock Units
• Paid time off, paid holidays & leave of absence programs
• Comprehensive health, dental & vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Professional development & tuition reimbursement
• Mental health & wellness support
• Commuter benefits (parking & transit)
• Cell phone stipend
• 401(k) Retirement plan with company match up to 4% of salary
• Volunteer time off
• Global travel insurance & emergency assistance
• Daily meals allowance