Staff Cloud Support Engineer

About the Role

As a Staff Cloud Support Engineer, you are a technical authority within Crusoe Cloud and a force multiplier across Customer Experience, SRE, Networking, Fleet, and Product teams. You operate beyond ticket resolution. You design reliability guardrails, influence architecture decisions, mentor engineers, and directly protect revenue by preventing large-scale incidents.

Responsibilities

• Serve as highest-level escalation point for complex P1/P0 incidents.
• Lead cross-functional root cause investigations involving compute, networking (IB/RDMA/RoCE), storage, and orchestration layers.
• Partner with SRE, Software teams (Storage, Networking, Compute, K8) to design systemic fixes rather than recurring workarounds.
• Influence Kubernetes architecture, workload orchestration (Slurm, Terraform), and AI/ML cluster stability.
• Reduce MTTR and incident recurrence through structural improvements.
• Troubleshoot NCCL, IB, GPU driver/firmware issues, distributed training failures.
• Support complex AI workloads (training + inference) with performance tuning and observability improvements.
• Act as technical advisor during high-risk customer incidents.
• Deliver executive-ready RCAs with clarity and confidence.
• Drive trust through transparency and technical depth.
• Mentor P3/P4 engineers.
• Define SOPs and technical standards for support excellence.
• Partner with Enablement to raise the technical bar across the organization.

Requirements

• 8+ years experience in SRE, DevOps, HPC, or Cloud Infrastructure roles.
• Advanced Linux systems expertise.
• Deep Kubernetes operational experience (CKA-level or higher).
• Strong networking knowledge: Infiniband, RDMA, RoCE, SDN.
• Experience supporting AI/ML workloads at scale (GPU clusters).
• Proven track record of resolving multi-layer, distributed system failures.
• Strong customer communication and executive-facing presence.

Qualifications

• BS in Computer Science, Engineering, or related field.
• MS or PhD in Computer Science, Engineering, or related field preferred.

Skills

• Linux Systems Administration
• Kubernetes Operations
• Networking (Infiniband, RDMA, RoCE)
• AI/ML Infrastructure Expertise
• Customer Communication and Executive Presence

Benefits

• Competitive compensation
• Restricted Stock Units
• Paid time off & paid holidays
• 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

Pay

Compensation will be paid in the range of up to $156,000 - $190,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Schedule

N/A