Senior Staff Deployment Automation Engineer

Crusoe
San Francisco, Sunnyvale, Bellevue
Workplace: OnsiteFull timeUSD 250,000 - 300,000 annuallyFunction: QA, Test & Release EngineeringExperience: 12+ yearsEducation: mastersSkills: ["Problem-solving","Opportunity-finding","Urgency","Independence","Collaboration"]

Own deployment and integration testing automation for large-scale, multi-node GPU clusters across the AI Cloud stack. Build CI/CD infrastructure that enables stable releases, integration testing, and reliable deployments across datacenters. Design multi-node scaling validation, maintain bare-metal Linux configurations and observability, and orchestrate canary and blue/green rollouts with automated rollback. Develop Python/Go cluster orchestration frameworks and performance test suites for multi-tenant isolation.

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FursaFursa
Crusoe
Crusoe
2 days ago

Senior Staff Deployment Automation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own deployment and integration testing automation for large-scale, multi-node GPU clusters across the AI Cloud stack. Build CI/CD infrastructure that enables stable releases, integration testing, and reliable deployments across datacenters. Design multi-node scaling validation, maintain bare-metal Linux configurations and observability, and orchestrate canary and blue/green rollouts with automated rollback. Develop Python/Go cluster orchestration frameworks and performance test suites for multi-tenant isolation.
Location: San Francisco, Sunnyvale, Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Completely own deployment and integration testing automation for bare-metal, on-premise systems across the AI Cloud stack.
  • •Build CI/CD platforms to enable developers to test, iterate, and deploy low-level systems and applications reliably.
  • •Design and execute multi-node scaling validation tests for virtualized clusters to ensure linear scaling and stability.
  • •Maintain and scale bare-metal Linux configurations with configuration management and observability tooling.
  • •Create deployment orchestration for canary and blue/green releases, including automatic rollback when needed.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kHsa AccountPaid LeavePaid ParentalPaid LifePaid Holidays

Key Requirements

  • •12+ years of experience independently delivering deployment and integration testing automation, plus a Bachelor’s or Master’s degree in a technical field.
  • •Experience building and deploying automated integration testing across an AI cloud environment from low-level Linux systems to distributed control planes.
  • •Working knowledge of Kubernetes, Docker, Terraform, and Postgres.
  • •Deep CI/CD and GitLab pipeline knowledge to enable stable infrastructure releases across multiple datacenters.
  • •Advanced automation in Python and/or Bash, plus configuration management experience (Ansible, Puppet, Chef, or SaltStack).
Experience:12+ yearsAI infrastructureCloud infrastructureDistributed systemsGPU computing
Education:Master's in Computer Science, Electrical Engineering, or a related technical field
Skills:Problem-solvingOpportunity-findingUrgencyIndependenceCollaboration
Tech Stack:PythonGoGitLabAnsibleAWXOsqueryKubernetesDockerTerraformPostgresBashFioStress-ngIperfLinuxLinux kernel internalsPCIe topologyVFIOHugePagesIOMMU

Company Brief

Crusoe
Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.
Industry: Data Centers
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: Denver, United States
Founded: 2018
Glassdoor
Glassdoor: 3.7
WebsiteLinkedInGlassdoor