Network Engineer (Data Centre / GPU Infrastructure)

We are looking for a Network Engineer to join our team. You will design, deploy, and operate high-performance networking for an AI data centre, supporting customers running large-scale AI and HPC workloads on GPU clusters.

You will work with advanced routing protocols, Linux-based network operating systems, and automation tools in a fast-growing AI infrastructure environment.

Responsibilities

• Design, develop, and operate high-performance networking solutions for GPUaaS platforms using VXLAN, EVPN, and BGP

• Provide operational support for GPU infrastructure services, ensuring SLA compliance and minimising downtime

• Monitor, troubleshoot, and optimise network performance using tools like Zabbix, Netbox, Ansible, and Python scripts

• Implement network security measures and support industry security certifications

• Coordinate with cross-functional teams (internal and external) to deliver network solutions on time

• Prepare technical reports — outage reports, SLA reports, and network optimisation plans — for management and customers

• Participate in on-call rotation / work outside standard hours when required (nights, weekends, public holidays)

Requirements

Must-Have

• Degree in Computer Science, Information Technology, Network Engineering, or a related field — OR equivalent networking certifications plus Linux certification

• Hands‑on experience deploying and troubleshooting VXLAN, EVPN, and BGP

• Strong understanding of TCP/IP, VLANs, and subnetting

• Working knowledge of network operating systems: Cumulus Linux, Arista, Ubuntu, Proxmox, or Redhat

• Experience with network monitoring and automation: Zabbix, Netbox, Ansible, Python scripting, CI/CD

• Strong verbal and written communication skills in English

• Customer‑service oriented and comfortable working with multiple stakeholders

Good-to-Have

• Experience with RDMA, InfiniBand, or RoCE protocols

• Understanding of how AI and HPC workloads interact with high-performance networks

• System-level experience with GPU‑accelerated networking

• Knowledge of cloud architectures (IaaS, PaaS) and NVIDIA GPU architecture

• Experience with Linux, hypervisors, storage (NFS, Object), and infrastructure-as-code