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Data Centre Network Engineer (m/w/d) | AI & GPU Infrastructure

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Onsite

Data Centre Network Engineer (m/w/d) | AI & GPU Infrastructure

Hamilton Barnes 🌳

Data Centre Network Engineer (m/w/d) | AI & GPU Infrastructure

Skills

PythonAIAnsibleLinuxKubernetes

9 days ago

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Important information


Contract type:

Permanent

Location:

North Rhine-Westphalia, Germany

Work mode:

Onsite

Published on:

15 October 2026

What they need


Data Centre Network Engineer (m/w/d) | AI & GPU Infrastructure | BGP / EVPN / InfiniBand | Remote, Germany

Want to build the networks behind Europe’s next generation of AI compute? A fast-scaling European AI cloud provider is hiring a Data Centre Network Engineer to help design and grow its GPU infrastructure platform. The role is remote within Germany, with occasional travel to data centre sites.

This is a hands-on engineering role with real architectural influence. You’ll work on high-performance networks for AI training and inference workloads, help bring new data centre sites online, and set the technical standards for the platform as it scales.

What You’ll Do

  • Build And Operate Large-Scale BGP Data Centre Fabrics
  • Design High-Performance GPU Networking For AI/HPC Workloads
  • Deploy And Run InfiniBand And RoCE Backend Networks
  • Integrate Kubernetes And Bare-Metal Platforms Into The Network
  • Manage Data Centre Firewalls And Load Balancers
  • Support New Data Centre Builds And Site Expansions
  • Automate Network Operations And Improve Monitoring/Observability
  • Troubleshoot Complex Incidents In A 24/7 Production Environment

What You’ll Bring

  • Several Years’ Data Centre Network Engineering Experience
  • Strong BGP Expertise, Ideally EVPN-VXLAN Or Spine-Leaf Fabrics
  • Solid IPv6 Experience In Production Environments
  • Experience With Firewalls And Load Balancing At Scale
  • Network Automation Skills: Python, Ansible, Or Similar
  • Fluent English (German A Plus)
  • Based In Germany With Right To Work In The EU
  • Happy To Join An On-Call Rotation

Nice To Have

  • NVIDIA Networking (Spectrum, Quantum, Cumulus) Or Arista/Juniper
  • InfiniBand Or RoCEv2 Experience For GPU Clusters
  • Kubernetes Networking And CNIs (Cilium, Calico)
  • SDN, Linux Networking Or HPC Background

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