Skip to main content

Crusoe

Cloud Support Engineer

New York, NY - USfulltimemidAdded today

About this role

Crusoe is seeking a Senior Cloud Support Engineer to provide technical support for its GPU compute cloud platform, serving customers in AI/ML, physics simulations, and computational biology. You'll be the primary technical contact, managing customer issues via ticketing systems, participating in on-call rotations, and collaborating with internal infrastructure teams to resolve complex cloud and hardware problems.

What you'll do

  • Deliver technical support to customers via Zendesk while maintaining 95%+ customer satisfaction and SLA targets
  • Participate in 24/7 on-call rotation to respond to critical issues affecting customer workloads
  • Diagnose and resolve infrastructure issues including VM problems, hardware failures, and scaling challenges using CLI tools
  • Triage alerts, manage maintenance windows, and conduct node delivery testing
  • Collaborate with SRE, networking, and storage teams on root cause analysis and issue resolution
  • Create onboarding materials, knowledge base documentation, and standard operating procedures

What they're looking for

  • Linux command-line interface (CLI) proficiency
  • Git version control
  • Kubernetes and container orchestration
  • Workload management tools (Slurm, Terraform)
  • Monitoring platforms (Grafana)
  • HPC technologies (Infiniband, RDMA, RoCE, SDN)
  • Public cloud platforms (AWS, Azure, GCP)
  • Customer support and escalation management
Apply on the employer's site

Opens the official application on the employer’s site. No login required.

Crusoe

Crusoe builds AI infrastructure and data center systems, including cloud platforms, modular facilities, and manufacturing operations. The company is hiring engineers across software, mechanical engineering, facilities management, instrumentation, and CNC programming to design, optimize, and operate its mission-critical infrastructure.

View all jobs at Crusoe

Likely interview questions

  • Can you describe a complex customer issue you've resolved in a cloud environment and walk us through your troubleshooting approach?
  • How have you handled competing high-priority escalations while managing SLA commitments?