Network Engineer

Location: Remote (US)Base: $160,000–$190,000 + Bonus + Equity (RSUs - 4-year vest)The ClientI'm working with a neocloud building purpose-built GPU infrastructure for AI workloads. They run large-scale clusters powering training and inference for some of the most demanding AI customers in the market.

The role: They're hiring a Network Engineer to design, build, and operate the network fabric behind their GPU cloud. This is a hands-on engineering role at the centre of a fast-moving buildout: multi-site data centres, new NVIDIA and AMD GPU clusters, and a greenfield cloud platform with automation-first network design. You'll work across the whole stack from Juniper edge routing and firewalling, to leaf-spine fabrics on NVIDIA/Mellanox Cumulus and Arista, to the RDMA fabrics (Infini Band and RoCE) that make large-scale training and inference possible. You'll spend as much time in automation and code as on the CLI, and you'll make trips to the data centres to help bring new capacity online. What you'll own Design, configuration, deployment, and tuning of high-speed network infrastructure for GPU training and inference across our clusters The GPU fabric itself: RDMA over Infini Band and RoCEv 2 - congestion control, PFC/ECN tuning, and Pkey/partitioning for multi-tenant isolation Edge routing, firewalling, and multi-homed connectivity on Juniper: BGP, public IP space, and upstream carrier relationships Leaf-spine data centre fabrics on NVIDIA/Mellanox Cumulus Linux, and Arista Network automation and infrastructure-as-code: codifying device configs, fabric buildout, and validation in Python, Ansible, and Terraform rather than keeping it in people's heads Observability and troubleshooting across Prometheus, Grafana, Checkmk, Wireshark, and tcpdump, with a clear point of view on what good monitoring looks like Network security posture alongside our security engineers: firewall policy, IDS/IPS, Wire Guard VPN, and controls that hold up to SOC 2 and HIPAAData centre design: structured fibre and copper cabling, and physical-layer troubleshooting during new site and cluster buildouts What they're looking for Required Significant experience designing, operating, and troubleshooting production network infrastructure at scale Deep understanding of TCP/IP, BGP, VLANs, VXLAN/EVPN, and modern data centre fabric design Hands-on high-performance networking for HPC or AI/ML: RDMA, Infini Band and/or RoCE, and the tuning that makes them perform Production experience with NVIDIA/Mellanox Cumulus Linux and/or Arista EOS in leaf-spine topologies Strong Juniper routing and firewall experience (Junos)Fluency with network automation and IaC: Python, Ansible, Terraform, and Bash Comfortable with packet-level troubleshooting (Wireshark, tcpdump) and metrics-based troubleshooting (Prometheus, Grafana)Non-essential but nice to have: Building or operating GPU/HPC network fabrics at scale (ConnectX, Bluefield DPU, Spectrum, Quantum, UFM, or equivalent)Familiarity with SDN and network-automation platforms (e.g. Netris or comparable)Open Stack/OVN networking, or standing up SDN on a greenfield cloud platform Working knowledge of NVIDIA GPU platforms (H100, B200) and their Infini Band scale-out networking Exposure to AMD GPU platforms (MI-series) and their Ethernet scale-out networking Zero-trust network design and Wire Guard VPNOperating under SOC 2 and/or HIPAAMAAS or bare-metal provisioning If you're interested in finding more out about the role - submit your resume and I'll be in touch to the successful applicants.