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Cloud Infrastructure Engineer

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Crusoe

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

172000.00 - 209000.00 USD / Year

Job Description:

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. We’re looking for an experienced Cloud Infrastructure Engineer to design, build, and operate the core cloud foundation that powers our AI-first compute environment. You’ll own the reliability, scalability, and automation of our Platform footprint and build the guardrails, tooling, and infrastructure that enable engineering teams to move quickly while maintaining strong security and operational excellence.

Job Responsibility:

  • Design, build, and manage core cloud infrastructure across compute, networking, storage, and IAM
  • Architect and operate GCE, GKE, and serverless workloads (Cloud Run/Functions) for scale and reliability
  • Own VPC design, routing, load balancers, interconnects, peering, and network security boundaries
  • Develop and maintain Terraform modules to define automated, auditable, and secure cloud environments
  • Implement policies and guardrails across IAM, resource hierarchy, service accounts, and VPC-SC
  • Build automation for provisioning, lifecycle management, and blue/green or canary deploy patterns
  • Partner closely with security and platform teams on monitoring, logging, compliance, and operational readiness
  • Optimize cloud costs, quotas, and capacity planning across multiple projects and regions
  • Troubleshoot complex production issues across compute, storage, and networking layers

Requirements:

  • 5–8+ years operating large-scale production workloads on Google Cloud Platform
  • Deep knowledge of GCE, GKE, VPC networking, load balancers, firewall rules, interconnect, and GCS
  • Strong Terraform experience and a track record of building automated multi-environment infrastructure
  • Hands-on experience with Kubernetes internals, workload orchestration, scaling, and observability
  • Ability to debug complex distributed systems across compute, storage, and network boundaries
  • Strong cloud security fundamentals, including least privilege, secrets management, and policy enforcement
  • Proficiency with Python, Go, or Shell for automation and tooling
  • Experience influencing design decisions and partnering with cross-functional teams

Nice to have:

  • Experience supporting high-performance or AI/ML workloads in GCP
  • Familiarity with Anthos, service mesh, or multi-cluster Kubernetes operations
  • Background in hybrid or multi-cloud infrastructure
  • Strong SRE fundamentals including SLOs, incident response, and postmortems
  • Experience with Spanner, BigQuery, Bigtable, or large-scale data platforms
What we offer:
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit
  • $300 per month

Additional Information:

Job Posted:
January 08, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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