C
Posted 12 hours ago
Staff Cloud Support Engineer
CrusoeStaff Cloud Support Engineer
Perks & benefits
Education AllowanceHealth InsuranceHousing AllowanceMobile AllowancePaid Leave
Requirements
8+ years SRE/DevOps/HPC experience, Advanced Linux expertise, Kubernetes operational experience, Networking knowledge (Infiniband, RDMA, RoCE), AI/ML workload support experience
Skills
LinuxKubernetesAI/ML
About the role
Responsibilities
- Serve as the highest-level escalation point for complex P1/P0 incidents
- Lead cross-functional root cause investigations involving compute, networking, storage, and orchestration layers
- Partner with SRE and Software teams to design systemic fixes
- Design and improve node validation, burn-in processes, and performance baselining
- Influence Kubernetes architecture and workload orchestration
- Troubleshoot NCCL, IB, GPU driver/firmware issues, and distributed training failures
- Act as a technical advisor during high-risk customer incidents
- Mentor P3/P4 engineers and define technical standards
Requirements
- 8+ years of experience in SRE, DevOps, HPC, or Cloud Infrastructure roles
- Advanced Linux systems expertise
- Deep Kubernetes operational experience
- Strong networking knowledge including Infiniband, RDMA, RoCE, and 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
Benefits
- Competitive compensation and Restricted Stock Units
- Paid time off and paid holidays
- Comprehensive health, dental, and vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development and tuition reimbursement
- Mental health and wellness support
- Commuter benefits
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4%
- Volunteer time off
About the Company
Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power the world's most ambitious AI workloads using an energy-first approach.
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Crusoe · San Francisco
