Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 19, 2026.
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.
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
- Provide operational support for GPU infrastructure services to meet customer expectations within defined SLAs, including preventive measures to minimise downtime.
- Provide technical network support and guidance to users of GPU-accelerated systems.
- Monitor, troubleshoot, and enhance network performance in GPUaaS platforms, including introducing automation to detect and resolve network issues.
- Manage relationships and expectations with internal and external stakeholders.
- Design, develop, and operate high-performance networking solutions for AI and GPU-as-a-Service (GPUaaS) platforms.
- Collaborate on network security initiatives and implementing cybersecurity best practices aligned with industry standards and certifications.
- Coordinate with cross-functional teams to deliver network solutions efficiently and within agreed timelines.
- Prepare and presenting technical reports, including network optimisation plans, outage reports, and SLA reports for management and customers.
- Contribute to the design of tailored high-performance network solutions for AI and GPU cloud computing environments.
- Conduct high-performance network benchmarking and staying informed on advancements in networking and GPU technologies.
- Participate in scheduled or on-call support outside standard working hours, including nights, weekends, or public holidays, as required.
Skills for Success
- Diploma/Degree or equivalent qualification in Computer Science, Information Technology, Network Engineering, or a related discipline; relevant networking and Linux certifications are advantageous.
- Strong understanding of networking fundamentals including TCP/IP, VLANs, and subnetting.
- Experience deploying and troubleshooting advanced routing protocols and network architectures such as VXLAN, EVPN, and BGP.
- 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.
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