Network Engineer

Network Engineer

Posted Today by Digisourced.

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Negotiable
Inside
Hybrid
London Area, United Kingdom
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Adaptive Communication Environments Ansible Artificial Intelligence Automation Benchmarking Border Gateway Protocol Cisco Certified Internetwork Expert (CCIE) Data Centers DevOps Extract Transform Load (ETL) Hyper-V Infrastructure as Code (IaC) Jitter Multi-Cloud Network Automation Network Performance Open Shortest Path First (OSPF) Performance Tuning Python (Programming Language) Terraform Virtualisation VMware Certified Associate VxLAN (Virtual Extensible LAN) Windows Server Virtualisation

Summary: The role of Network Engineer involves designing, deploying, and managing VXLAN EVPN-based fabric networks to support AI and high-performance computing workloads. The position requires collaboration with various teams to optimize network performance and drive automation efforts using tools like Python and Ansible. This is a hybrid role based in London, with a duration of 6 months plus potential extensions. The position is classified as inside IR35.

Key Responsibilities:

  • Design, deploy, and manage VXLAN EVPN-based fabric networks supporting AI and high-performance computing workloads.
  • Build scalable spine-leaf architectures using Cisco Nexus 9000 or Arista switches, ensuring efficient Layer 2/Layer 3 segmentation and workload mobility.
  • Optimize network performance for RoCEv2, GPUDirect, and low-latency traffic flows, ensuring maximum throughput and minimal jitter for GPU-accelerated clusters.
  • Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues.
  • Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure.
  • Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines.
  • Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments.
  • Participate in performance tuning, benchmarking, and capacity planning for evolving AI workloads and future-proof infrastructure designs.

Key Skills:

  • Proven experience designing and operating VXLAN EVPN-based data center networks.
  • Strong knowledge of Cisco ACI, Nexus 9000, or Arista EOS platforms.
  • Expertise in data center routing and switching, including BGP, OSPF, IS-IS, multicast, and fabric path.
  • Deep understanding of AI-specific networking needs, including RoCEv2, DCB, PFC, and RDMA optimization.
  • Hands-on experience with automation and orchestration tools such as Python, Ansible, and Terraform.
  • Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments.
  • CCNP or CCIE Data Center (highly preferred).
  • Cisco Certified Specialist – Enterprise Core or Data Center Core.
  • Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus.
  • Experience with hybrid and multi-cloud networking for AI clusters is desirable.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Hello Network! I hope you're doing well today, We are currently recruiting for a Network Engineer to work hybrid out of London:

Duration: 6 months + extensions (Overall)

Location: London

Hybrid Working

Pay: Negotiable

English Speaking

Inside IR35

The role responsibilities are:

  • Design, deploy, and manage VXLAN EVPN-based fabric networks supporting AI and high-performance computing workloads.
  • Build scalable spine-leaf architectures using Cisco Nexus 9000 or Arista switches, ensuring efficient Layer 2/Layer 3 segmentation and workload mobility.
  • Optimize network performance for RoCEv2, GPUDirect, and low-latency traffic flows, ensuring maximum throughput and minimal jitter for GPU-accelerated clusters.
  • Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues.
  • Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure.
  • Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines.
  • Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments.
  • Participate in performance tuning, benchmarking, and capacity planning for evolving AI workloads and future-proof infrastructure designs.

Required Skills & Expertise:

  • Proven experience designing and operating VXLAN EVPN-based data center networks.
  • Strong knowledge of Cisco ACI, Nexus 9000, or Arista EOS platforms.
  • Expertise in data center routing and switching, including BGP, OSPF, IS-IS, multicast, and fabric path.
  • Deep understanding of AI-specific networking needs, including RoCEv2, DCB, PFC, and RDMA optimization.
  • Hands-on experience with automation and orchestration tools such as Python, Ansible, and Terraform.
  • Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments.

Preferred Qualifications & Certifications:

  • CCNP or CCIE Data Center (highly preferred)
  • Cisco Certified Specialist – Enterprise Core or Data Center Core
  • Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus
  • Experience with hybrid and multi-cloud networking for AI clusters is desirable

If interested, or you know someone that could be please reach out and we can arrange a time to speak?

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