Senior Cloud Support Engineer, Tuesday - Saturday

Crusoe
Cloud Go-To-Market (GTM)Posted 24 February 2026

Job Description

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 This role:Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.What You’ll Be Working On:Tuesday - Saturday Shift Pattern. Tuesday - Friday on site - Saturday Remote.Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption.Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).What You’ll Bring to the Team:Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.Version Control: Proficiency with Git for code management and collaboration.Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).Bonus Points:Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-mo ... (truncated, view full listing at source)
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