Senior GPU Cloud Infrastructure Engineer (Remote)

Jobgether; Ireland; On-site; EUR 90,000 - 120,000; Full time

Job summary

Jobgether, on behalf of our partner in Ireland, seeks a Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure). You will deploy, commission, and run GPU cloud environments, spanning hardware, networking, Linux, and platform software.

You will work with high-density NVIDIA GPU systems, Kubernetes, virtualization, and observability tools, troubleshoot complex issues, and help establish deployment standards and runbooks for a rapidly evolving AI infra.

Qualifications

• Hands-on datacenter deployment and maintenance experience.
• Bringing GPU servers from bare metal through validation to production readiness.
• Experience with NVIDIA GPUs, drivers, and high-density compute environments.
• Familiarity with NVL72 rack-scale architectures and RoCE/RDMA.
• Strong Linux troubleshooting across kernels and drivers.
• Knowledge of virtualization and containerization (KVM, Docker, Kubernetes).

Responsibilities

• Coordinate datacenter deployments with providers, integrators, and internal teams.
• Support rack-and-stack for GPU/CPU servers, storage, switches, and PDUs.
• Validate cabling, optics, and connectivity across networks and storage.
• Commission GPU servers, storage nodes, and platform infrastructure.
• Perform burn-in, stress, and acceptance testing before production handover.
• Validate telemetry and monitoring across hosts and networking gear.

Skills

Datacenter deployment

GPU infrastructure

Linux troubleshooting

Kubernetes

Networking

Observability

Terraform

Ansible

Tools

Terraform

Ansible

Docker

KVM/QEMU

Job description

Jobgether, on behalf of our partner in Ireland, seeks a Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure). You will deploy, commission, and run GPU cloud environments, spanning hardware, networking, Linux, and platform software.

You will work with high-density NVIDIA GPU systems, Kubernetes, virtualization, and observability tools, troubleshoot complex issues, and help establish deployment standards and runbooks for a rapidly evolving AI infra.