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Network Engineer (Data Centre / GPU Infrastructure)

Summary

Design and operate high-performance networks for an AI data centre, deploying VXLAN/EVPN/BGP on Linux-based NOS and automating with Ansible/Python.

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

    👉 Apply via MyCareersFuture today!
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    Int Ref: JL - JO 29160

    Xu Jia Ling

    (Reg No.: R25159057)

    BGC Group Pte Ltd (Outsourcing)

    EA 05C3053

See also