Data Centre Network Engineer — AI Infrastructure

Era4

United Kingdom

Hybrid

GBP 65,000 - 95,000

Full time

14 days+

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Job summary

Era4 in the United Kingdom is seeking a hands-on Data Centre Network Engineer to support the design, deployment and operation of high-performance networking for a next-generation AI infrastructure platform.

You will work across data centre fabrics, routing, automation, and observability, partnering with platform engineering, infrastructure and AI teams to ensure scalable, secure connectivity and reliable GPU compute environments.

Qualifications

  • Proven experience designing, deploying and supporting data centre networks.
  • Strong knowledge of TCP/IP, BGP, OSPF and EVPN/VXLAN.
  • Experience with leaf-spine architectures and modern data centre fabrics.
  • Familiarity with Kubernetes networking and network security concepts.
  • Automation using Python, Ansible or Terraform in IaC approaches.

Responsibilities

  • Configure, manage, and troubleshoot data centre networking environments.
  • Support routing and switching across BGP/OSPF, VLANs and VRFs.
  • Work with leaf-spine, EVPN/VXLAN architectures.
  • Collaborate with platform and infra teams to ensure secure, scalable connectivity.
  • Implement and support network automation using scripting and IaC tools.
  • Contribute to monitoring, observability, and incident response processes.
  • Document configurations and changes for operational handover.

Skills

Data centre networking
Routing protocols (BGP, OSPF)
EVPN/VXLAN
Leaf-spine architecture
IPv6 / SRv6
Network automation
Linux administration
Kubernetes networking
Troubleshooting
Documentation & stakeholder comms

Tools

Cisco
Arista
Juniper

Job description

Era4 in the United Kingdom is seeking a hands-on Data Centre Network Engineer to support the design, deployment and operation of high-performance networking for a next-generation AI infrastructure platform.

You will work across data centre fabrics, routing, automation, and observability, partnering with platform engineering, infrastructure and AI teams to ensure scalable, secure connectivity and reliable GPU compute environments.

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