Network Engineer, GPUaaS

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is seeking an experienced Network Engineer to support GPU infrastructure services and GPU‑as‑a‑Service platforms in Singapore. You will ensure customer SLAs, provide technical guidance, and monitor network performance for AI workloads.

You will design and operate scalable networking solutions, collaborate with cross‑functional teams, and contribute to security improvements while staying current with GPU networking trends.

Qualifications

• Diploma/Degree or equivalent in CS/IT/Network Engineering; networking & Linux certs are advantageous.
• Strong understanding of networking fundamentals including TCP/IP, VLANs, and subnetting.
• Experience deploying and troubleshooting routing protocols and network architectures (VXLAN, EVPN, 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).
• Customer-focused mindset with strong collaboration and stakeholder management skills.
• Effective verbal, written, and presentation skills in English.

Responsibilities

• Provide operational support for GPU infrastructure services to meet customer 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 automation to detect and resolve issues.
• Manage relationships and expectations with internal and external stakeholders.
• Design, develop, and operate high‑performance networking solutions for AI and GPUaaS platforms.
• Collaborate on network security initiatives and implement cybersecurity best practices.
• Coordinate with cross‑functional teams to deliver network solutions efficiently and within timelines.
• Prepare and present technical reports including network optimisation plans, outage reports, and SLA reports.
• Contribute to design of tailored high‑performance network solutions for AI and GPU cloud computing environments.
• Conduct high‑performance network benchmarking and stay informed on advancements in networking and GPU technologies.
• Participate in on‑call support outside standard hours as required.

Skills

Networking fundamentals

TCP/IP

VXLAN

EVPN

BGP

Linux

Automation

Scripting (Python)

Monitoring tools

Stakeholder management

Education

Diploma/Degree in Computer Science/IT/Network Engineering

Tools

Zabbix

NetBox

Ansible

Python scripting

CI/CD pipelines

Cumulus

Arista

Ubuntu

Proxmox

Red Hat

Job description

• 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.