Senior Staff Deployment Automation EngineerNew$250K–$300K

Crusoe
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The opportunity

Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.

What you'll 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.

  • Configuration Management and Observability: Maintain and scale bare-metal Linux configurations using a mix of custom and off the shelf tooling such as Gitlab, Ansible, AWX, osquery, etc.

  • Deployment Orchestration: Create control applications to coordinate canary deployments on live production systems, run Blue/Green testing, and perform automatic rollback where necessary.

  • Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments.

What they're looking for

  • Create automated test suites leveraging tools like fio, stress-ng, and iperf: to ensure performance and multi-tenant isolation of CPU and GPU hosts.
  • Education & Experience: 12+ YOE demonstrated ability to competently and independently perform responsibilities plus 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, ranging from low-level Linux Systems up to Distributed Control Planes.
  • Working knowledge of the modern infrastructure stack, including Kubernetes, Docker, Terraform, and Postgres.