Description

Key Responsibilities

• Identify root causes of production issues and prototype/validate solutions under production-like workloads
• Help partners prepare operational models for new platforms, services, and capacity expansions
• Analyze operational metrics including incident frequency, recovery time, infrastructure utilization, and cost efficiency
• Improve partner operational maturity across people, processes, tooling, monitoring, security, and incident response
• Create reusable ecosystem capabilities: SOPs, reference architectures, assessment frameworks, automation solutions, and agentic workflows
• Identify recurring patterns across partner environments and feed insights back to product, engineering, and support teams

Required Skills

• GPU Infrastructure: DCGM, BMC/Redfish, Firmware & Driver Lifecycle Management
• Networking: InfiniBand, High-Speed Ethernet, NCCL, UFM
• High-Performance Storage: Lustre, IBM Storage Scale (GPFS), WEKA, VAST Data
• Platform: Kubernetes, Slurm, GPU Scheduling, Multi-Tenancy Architecture
• Observability: Prometheus, Grafana, OpenTelemetry
• Automation & IaC: Terraform, Ansible, Argo CD
• OS & Scripting: Linux Administration, Python, Bash

Preferred Skills

• Experience supporting large-scale GPU or AI infrastructure at specialist level
• Strong root-cause analysis and customer-facing communication skills

Key Skills

Education

Bachelor's degree