Network Engineer, GPUaaS

Job description

About Singtel Digital InfraCo – RE:AI Singtel Digital InfraCo’s RE:AI division is building Asia’s most advanced and sustainable AI infrastructure ecosystem. RE:AI enables enterprises, research institutions, and digital-native businesses to accelerate innovation through responsible, high-performance AI compute and connectivity solutions. Be a Part of Something BIG! Singtel’s state‑of‑the‑art GPU‑as‑a‑Service (GPUaaS) data centre networking infrastructure. You will support customers running AI and high‑performance computing (HPC) workloads on large‑scale distributed GPU clusters. This role offers opportunities to build and deepen expertise in AI data‑centre networking and HPC cloud platforms within a highly collaborative and performance‑driven environment. Make an Impact By Designing, developing, and operating high‑performance networking solutions for AI and GPU‑as‑a‑Service (GPUaaS) platforms. Providing operational support for GPU infrastructure services to meet customer expectations within defined SLAs, including preventive measures to minimise downtime. Collaborating on network security initiatives and implementing cybersecurity best practices aligned with industry standards and certifications. Monitoring, troubleshooting, and enhancing network performance in GPUaaS platforms, including introducing automation to detect and resolve network issues. Managing relationships and expectations with internal and external stakeholders. Coordinating with cross‑functional teams to deliver network solutions efficiently and within agreed timelines. Preparing and presenting technical reports, including network optimisation plans, outage reports, and SLA reports for management and customers. Contributing to the design of tailored high‑performance network solutions for AI and GPU cloud computing environments. Conducting high‑performance network benchmarking and staying informed on advancements in networking and GPU technologies. Providing technical network support and guidance to users of GPU‑accelerated systems. Participating in scheduled or on‑call support outside standard working hours, including nights, weekends, or public holidays, as required. Skills for Success Degree or equivalent qualification in Computer Science, Information Technology, Network Engineering, or a related discipline; relevant networking and Linux certifications are advantageous. Experience deploying and troubleshooting advanced routing protocols and network architectures such as VXLAN, EVPN, and BGP. Strong understanding of networking fundamentals including TCP/IP, VLANs, and subnetting. Experience with network operating systems and platforms such as Cumulus, Arista, Ubuntu, Proxmox, and Red Hat. Hands‑on experience with network monitoring, automation, and configuration tools (e.g. Zabbix, NetBox, Ansible, Python scripting, CI/CD pipelines). Customer‑focused mindset with strong collaboration and stakeholder management skills. Effective verbal, written, and presentation skills in English. Strong analytical, problem‑solving skills and ability to work independently while contributing to team objectives. Desirable Qualifications Experience with Linux systems, hypervisors, storage technologies (e.g. NFS, object storage), and infrastructure‑as‑code practices. Understanding of how AI and HPC workloads interact with high‑performance networking infrastructure. System‑level experience with GPU‑accelerated networking environments. Understanding of cloud architectures (IaaS, PaaS), GPU architecture, and NVIDIA GPU platforms. Rewards that Go Beyond Full suite of health and wellness benefits Ongoing training and development programs Internal mobility opportunities Your Career Growth Starts Here. Apply Now!