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AI Infrastructure and Platform Operations Resident - strong exp in NVAIE, NIM, Triton endpoint support and troubleshooting ,Kubernetes administration and cluster operations,

Avensys Consulting
Riyadh Region, KSA
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
KubernetesKubernetes cluster operationsNVIDIA AI Enterprise (NVAIE)NVIDIA NIMNVIDIA Triton Inference ServerRun:ai

Full Job Posting

Job Summary

Operate and support AI infrastructure and platform services in Riyadh, KSA.

The role covers BCM, server lifecycle management, Kubernetes operations, GPU resources, AI networking, storage, and endpoint support.

Technical Scope

  • Support NVAIE, NIM, and Triton endpoints and troubleshoot related issues.
  • Administer Kubernetes clusters and operate Run:ai resource pools, quotas, priorities, fair-share, reservations, and queues.
  • Monitor GPU health, utilization, capacity, and workload placement.
  • Work with PowerEdge, PowerScale F210/OneFS, AI networking, RoCE/RDMA, and storage performance.
  • Use Linux and support incident management, change control, patching, upgrades, backup, and recovery.

Core Responsibilities

  • Perform recurring health reviews across servers, GPUs, infrastructure nodes, storage, switching, Kubernetes, BCM, Run:ai, and AI services.
  • Maintain BCM provisioning, node baselines, configuration consistency, lifecycle coordination, and recovery procedures.
  • Administer Kubernetes nodes, namespaces, workloads, GPU resources, and platform add-ons.
  • Operate H200 inference, H200 fine-tuning, and L40S RAG resource pools with quotas, priorities, reservations, and approved preemption.
  • Monitor utilization, queue time, capacity, throughput, contention, endpoint availability, and workload placement.
  • Support PowerScale capacity and protection reviews and investigate AI-network, storage, GPU-fabric, and endpoint issues.
  • Coordinate maintenance planning for firmware, drivers, operating systems, Kubernetes, BCM, Run:ai, and NVAIE.
  • Provide incident triage, impact assessment, escalation, recovery tracking, and post-incident improvement actions.
  • Maintain operational runbooks for health, provisioning, GPU allocation, troubleshooting, maintenance, incident response, and recovery.

Experience

  • 8+ years of experience.
  • Strong experience in NVAIE, NIM, Triton endpoint support and troubleshooting, Kubernetes administration, and cluster operations.
  • Experience with GPU orchestration, PowerEdge, PowerScale F210/OneFS, AI networking, RoCE/RDMA, and storage performance.

What's on Offer

  • Excellent base salary and company benefits are offered.
  • The employer describes a collaborative environment and career progression opportunity.

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