Staff Network Engineer (AI)

Location: Ireland or the UK

Company

Nscale provides GPU cloud infrastructure for AI startups and enterprise customers, including high-performance networking and software platforms.

What you will do

• Design, validate, and evolve InfiniBand, RoCE, and Ethernet fabric architectures across racks, rows, and data centers.
• Define reference architectures and technical standards for BGP, EVPN-VXLAN, LACP, QoS, and Clos/spine-leaf networks.
• Design perimeter and security infrastructure, including firewalls, NAT, VPNs, high availability, and multi-tenant segmentation.
• Lead GitOps-based network automation with Python, Ansible, infrastructure-as-code, and CI/CD tooling.
• Drive operational excellence through observability, telemetry, incident leadership, root-cause analysis, runbooks, and measurable SLOs.
• Partner with deployment, data center operations, platform engineering, systems, storage, and vendors while mentoring engineers and leading architecture reviews.

Requirements

• 10+ years of network engineering experience in HPC, AI, hyperscale, or large-scale data center environments.
• Hands-on RDMA-aware networking experience, including InfiniBand and/or RoCE, subnet managers such as OpenSM or UFM, and fabric orchestration.
• Expert knowledge of BGP, EVPN-VXLAN, and Clos/spine-leaf architectures, with production experience on platforms such as Cumulus, Nokia, or Arista EOS.
• Strong Python and Ansible automation experience with Git workflows, Terraform, GitLab CI, or GitHub Actions.
• Deep experience with Juniper SRX and/or Palo Alto firewalls, security policy architecture, high availability, and network segmentation.
• Strong technical leadership, communication, mentoring, incident management, and cross-functional decision-making skills.

Culture & Benefits

• Work in an environment focused on ownership, accountability, innovation, and engineering excellence.
• Contribute to infrastructure supporting large-scale AI training and inference workloads.
• Collaborate across engineering, operations, systems, storage, deployment, and vendor teams.
• Inclusive workplace welcoming candidates from diverse backgrounds and experiences.