Job Description
Singtel is where Technology meets Purpose.
We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.
From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.
At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.
This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.
Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.
Be a Part of Something BIG!
The Network Engineer will be responsible for designing, implementing, and maintaining Singtel IT network infrastructure supporting AI platforms across data centres, enterprise networks, and hybrid cloud environments. The primary objective is to deliver secure, reliable, high-throughput, and low-latency network connectivity for AI/ML workloads, including GPU/CPU clusters and Singtel Central AI Kitchen. This role ensures seamless integration with existing enterprise networks while aligning network architecture with business requirements, enterprise standards, and technology infrastructure objectives.
How You Will Make an Impact:
- Design end-to-end network architecture for AIDA GPU/CPU infrastructure and Singtel Central AI Kitchen, ensuring high throughput, low latency, scalability, resiliency and security.
- Develop High-Level Design (HLD), Low-Level Design (LLD), network topology and connectivity diagrams.
- Implement and integrate AI infrastructure networks with existing enterprise environments to enable secure connectivity for users and applications.
- Design, configure and manage enterprise and data centre networks, including routing, switching, wireless, SD-WAN and hybrid cloud connectivity.
- Troubleshoot complex network connectivity issues and optimize network performance for AI/ML training and inference workloads.
- Leverage network automation and AI-driven management platforms for anomaly detection, root-cause analysis, predictive monitoring and network optimization.
- Implement network segmentation, Zero Trust principles and appropriate firewall and access control measures in collaboration with Network Security and InfoSec teams.
- Collaborate with AI platform, Data Science, Compute/Storage, DevOps and Infrastructure teams to define requirements and deliver integrated solutions.
- Support infrastructure changes, technology refreshes, migrations, testing and post-implementation validation in accordance with engineering and operational standards.
- Maintain technical documentation, identify network risks, implement mitigation measures and ensure proper knowledge transfer to Network Operations teams.
Skills for Success:
- Bachelor degree in Computer Science, Information Technology or a related field, with at least 10 years of relevant experience in network engineering, architecture, implementation or infrastructure operations.
- Strong hands-on experience in enterprise and data centre network architecture, design, implementation and operations.
- Strong knowledge of TCP/IP, BGP, OSPF, VLAN/VXLAN, routing, switching, wireless, SD-WAN and high-availability design.
- Strong understanding of firewalls, network segmentation, Zero Trust and enterprise security architecture.
- Experience designing networks for GPU/CPU infrastructure, AI/ML workloads, high-performance computing or high-throughput environments is highly desirable.
- Experience with network automation tools such as Python, Ansible, Terraform and Git, with an understanding of CI/CD and Infrastructure as Code (IaC) principles.
- Experience with AI-driven network management and assurance platforms such as Cisco Catalyst Center, Mist AI or equivalent.
- Relevant professional certifications in networking and security, such as Cisco, Check Point, Fortinet or F5.
- Experience managing infrastructure projects, vendors and cross-functional stakeholders, with strong communication and problem-solving skills.
- Strong commitment to service quality, timely resolution and continuous improvement.
Are you ready to say hello to BIG Possibilities
Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.
Take the leap with Singtel to shape what's next and accelerate your growth.
More Info
Key Skills
high-availability design
network segmentation
network architecture design
Cisco Catalyst
AI ML workloads
network automation tools
AI-driven network management
CI/CD
Zero Trust
Infrastructure as Code (IaC)
Mist AI
SD-WAN



