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GPU / AI Network Engineer

Posted 1 day ago by Experis

The Opportunity

You'll take ownership of the design, deployment and operation of network infrastructure supporting: Large-scale AI and GPU clusters, High-density compute platforms, Multi-site data centres, Carrier and cloud connectivity, Mission-critical 24/7 services.

Working alongside senior infrastructure, platform and engineering teams, you'll define the networking strategy behind some of the most demanding environments in the industry.

What You'll Be Doing

  • Design scalable Leaf-Spine architectures supporting AI and HPC workloads
  • Build and optimise 100G, 400G and next-generation 800G networks
  • Deliver advanced routing and fabric technologies including: BGP EVPN/VXLAN, Advanced L2/L3 networking, DDoS protection, High-availability architectures
  • Architect AI network fabrics using: RoCE, RDMA, InfiniBand, Lossless Ethernet
  • Lead new data centre deployments, including: Carrier onboarding, Fibre route design, Meet-Me Room architecture, DIA/IP Transit procurement, Multi-carrier resilience strategies
  • Design secure, resilient connectivity into: Azure, AWS, Google Cloud
  • Drive operational excellence across monitoring, capacity planning, disaster recovery and service resilience

What We're Looking For

You will have a proven track record delivering network architecture within: AI Infrastructure, GPU Compute Environments, HPC Platforms, Hyperscale Data Centres, Colocation Environments, Cloud-Scale Infrastructure.

Strong expertise in: Leaf-Spine Networks, BGP EVPN/VXLAN, Routing & Switching, Network Security, Carrier Connectivity, High-Performance Ethernet.

Highly Desirable: 800G Ethernet deployments, RoCE / RDMA expertise, InfiniBand architecture, GPU fabric design, Optical networking, Dark fibre and wavelength services, Data centre commissioning experience.

Rate:
£100/hour
Location:
United Kingdom
IR35 Status:
Outside
Remote Status:
Remote
Industry:
IT
Seniority Level:
Senior

Take-Home Pay

£16,000 per month

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