Technical Support Engineer GPU Clusters US Weekends

Skills

About the Role

You will resolve customer issues involving Kubernetes GPU clusters and act as a customer-facing SRE. You will monitor cluster health, communicate hardware remediation steps, maintain production infrastructure, troubleshoot storage and networking, document procedures, and provide weekend, holiday, and on-call support coverage.

Requirements

• 3+ years of experience in a customer-facing technical role
• 1+ year of support experience for an AI service or mission-critical SaaS API
• SRE or DevOps experience
• Kubernetes
• AI
• machine learning
• GPU
• high-performance computing
• Slurm
• infrastructure as code
• Ansible
• high-performance networking
• NFS
• container infrastructure
• scripting
• programming
• HPC cluster maintenance
• InfiniBand
• RDMA
• network diagnostics
• Weka
• distributed storage
• compute-cluster administration
• troubleshooting
• customer support
• communication

Responsibilities

• Resolve customer technical challenges involving Kubernetes GPU clusters
• Act as a customer-facing SRE
• Maintain Kubernetes cluster health and stability
• Serve as a product expert before escalation to engineering and product teams
• Monitor GPU cluster health and communicate hardware remediation steps
• Operate and maintain production infrastructure for enterprise GPU customers
• Perform fleet rebalancing, Slurm maintenance, node repair and migration, and Kubernetes workload management
• Investigate storage and networking issues
• Collaborate with engineering, research, product, sales, and customer stakeholders
• Identify support patterns and inform product roadmaps
• Maintain system, procedure, troubleshooting, and FAQ documentation
• Provide support coverage during holidays, nights, and weekends

Benefits

• Startup equity
• Health insurance
• Remote-work flexibility