Senior Staff Cloud Support Engineer job opportunity at Crusoe.



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Crusoe Senior Staff Cloud Support Engineer
Experience: General
Pattern: full-time
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Salary:
Status:

Cloud Go-To-Market (GTM)

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degreeBachelor's (B.Sc.)
loacation San Francisco, CA - US, United States Of America
loacation San Francisco,..........United States Of America

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. 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. About the Role As a Senior 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 senior engineers, and directly protect revenue by preventing large-scale incidents. You bring deep expertise in Linux systems, Kubernetes, networking, and AI/ML infrastructure, and apply that knowledge with strong customer focus. You are comfortable operating in ambiguity, leading incident response, and shaping how Crusoe scales high-performance AI infrastructure globally. What You’ll Be Working On Technical Leadership & Escalations 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. Reliability Architecture Design and improve node validation, burn-in processes, performance baselining, and release readiness. Influence Kubernetes architecture, workload orchestration (Slurm, Terraform), and AI/ML cluster stability. Reduce MTTR and incident recurrence through structural improvements. AI/ML Infrastructure Expertise Troubleshoot NCCL, IB, GPU driver/firmware issues, distributed training failures. Support complex AI workloads (training + inference) with performance tuning and observability improvements. Customer-Facing Authority Act as senior technical advisor during high-risk customer incidents. Deliver executive-ready RCAs with clarity and confidence. Drive trust through transparency and technical depth. Mentorship & Standards Mentor P3/P4 engineers. Define SOPs and technical standards for support excellence. Partner with Enablement to raise the technical bar across the organization. What You Bring 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. Benefits Industry competitive pay 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/month Compensation Range Compensation will be paid in the range of up to $180,000 -$220,000 + 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. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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