Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure)

Added
1 day ago
Type
Full time
Salary
Salary not provided

Related skills

docker ansible terraform linux kubernetes

๐Ÿ“‹ Description

  • Deploy, commission, and operate GPU cloud infrastructure across regional/core datacenters.
  • Transform validated architectures and BOMs into production-ready hardware, networking, storage
  • Own intersection of datacenter operations, GPU infra, network engineering, and cloud platform ops.
  • Troubleshoot complex issues across physical and software layers; drive incidents to resolution.
  • Establish deployment standards, validation procedures, and operational documentation.

๐ŸŽฏ Requirements

  • Datacenter infrastructure hands-on experience in GPU, HPC, AI cloud, or high-density compute.
  • Bare-metal deployment from physical install to production readiness.
  • Experience with NVIDIA GPU servers, drivers, PCIe topology, and high-performance compute.
  • Familiarity with NVL/NVLink, in-rack networking, and OEM/NVIDIA validation needs.
  • Linux troubleshooting, virtualization and containers (KVM/QEMU, Docker, Kubernetes, VFIO).
  • Networking knowledge: VLANs/VRFs, BGP/ECMP, OVS/OVN, OOB management, high-speed datacenter nets.

๐ŸŽ Benefits

  • Attractive compensation; full-time or contract engagement.
  • Europe-based remote working environment with flexibility.
  • Opportunity to work on cutting-edge GPU cloud and AI infra at scale.
  • Hands-on exposure to NVIDIA GPUs, RoCE/RDMA, Kubernetes, storage, and observability.
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