Senior AI Networking Architect: GPU Fabrics & Data Centers

Jobgether

Ireland

Hybrid

EUR 120,000 - 180,000

Full time

31 hours ago
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Benefits offered by this job

Flexible hybrid work
Hybrid-friendly environment
Competitive compensation
Career growth opportunities
Autonomy and technical ownership

Job summary

Jobgether is seeking a Staff Network Engineer in Ireland to own the architecture and operations of AI fabric and datacenter networks. You will lead design, deployment, and reliability for high-performance GPU workloads, RoCE/RDMA, and inter-datacenter connectivity.

You will collaborate with compute, platform, storage, and SRE teams in a fast-scaling environment, shaping networking standards and driving automation across the network stack.

Qualifications

  • Extensive hands-on experience designing, deploying, and operating large-scale datacenter networks in production.
  • Expert knowledge of modern networking protocols and architectures (BGP, OSPF, ECMP, EVPN/VXLAN).
  • Strong experience with high-speed Ethernet and networking hardware in production.

Responsibilities

  • Own the long-term technical direction and operational strategy for AI networking and data center infra.
  • Design, deploy, and operate GPU networking fabrics optimized for distributed AI workloads.
  • Architect large-scale RoCE and Ethernet fabrics (leaf-spine, fat-tree, rail).
  • Lead end-to-end networking initiatives from architecture to production handover.
  • Collaborate with compute, platform, storage, SRE, and datacenter teams in a fast-scaling environment.
  • Drive automation for provisioning, configuration, monitoring, and lifecycle management.

Skills

Networking design
RoCE/RDMA
BGP
EVPN/VXLAN
NVIDIA Mellanox
Python automation
Linux networking
GPU interconnect

Tools

OVS/OVN
NVIDIA/Mellanox platforms

Job description

Jobgether is seeking a Staff Network Engineer in Ireland to own the architecture and operations of AI fabric and datacenter networks. You will lead design, deployment, and reliability for high-performance GPU workloads, RoCE/RDMA, and inter-datacenter connectivity.

You will collaborate with compute, platform, storage, and SRE teams in a fast-scaling environment, shaping networking standards and driving automation across the network stack.

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