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Salary
≈ $38k – $94k per year (Estimated)
Location
In office (Singapore)

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 2, 2026. Government Technology Agency scores A on the Alion truth index.

Overview
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The Government Technology Agency, known as GovTech, is the statutory board that builds and runs Singapore's public digital infrastructure, formed in 2016 out of the country's earlier government IT organisations. It develops citizen-facing services in house rather than outsourcing them, most notably Singpass, the national digital identity used by almost every adult in the country for banking, government and private transactions. GovTech also runs the Government Commercial Cloud, the LifeSG and OneService applications, national cybersecurity engineering for public systems, and the AI platforms used across ministries.

Platform Infrastructure Engineer  

GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. 

At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. 

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! 

Learn more about GovTech at tech.gov.sg. 

[What you will be working on]  

We are looking for a network engineer to design, implement, and operate the network infrastructure for our on-premises private cloud platform spanning multiple government data centres. This role involves hands-on delivery of production network services and active participation in establishing and evangelizing SRE practices including observability, incident response, and reliability engineering.

  • Design, implement, and operate spine-leaf network topology with eBGP, ECMP, MLAG, multi-plane VRF architecture, routers, switches, firewalls, DNS, NTP, OpenShift networking (OVN-Kubernetes, ingress, load balancers), DWDM equipment, L3 and L2 EVPN, and telco circuits for inter-site connectivity.

  • Implement network security zones, firewall policies, ACLs, traffic segmentation, design CI/CD processes and out-of-band zones to ensure traceability, accountability, and speed of rollback, and automate network configuration using Ansible, Python, and/or infrastructure-as-code, and integrate with platforms/dashboards.

  • Establish network observability, SLIs, SLOs, monitoring, alerting, capacity planning, develop runbooks, and participate in SRE on-call rotation, incident response, and blameless postmortems.

[What we are looking for]  

Required Skillsets  

  • Education & Experience: Degree in Computer Science, Information Systems, Computer Engineering, or equivalent hands-on experience in a related field. 
  • Understanding of spine-leaf topology, eBGP, iBGP, ECMP, MLAG, VRF isolation, routing, switching, VLANs, TCP/IP, DNS architecture, NTP architecture, DHCP, TLS, load balancing, Ansible, Python, Prometheus, syslog, and OpenTelemetry.

  • Experience in designing, implementing, operating, and automating data centre networks using infrastructure-as-code workflows.

  • Understanding design of eBGP configuration including AS-path, route filtering, and multi-path load balancing.

  • Ability to troubleshoot complex network issues using packet capture, protocol analysis, and BGP debugging tools.

  • CCIE or equivalent industry certification preferred.

  • Understanding of DNS and NTP architecture design.

  • Multi-site or multi-data-centre network design with DNS, WAN routing, and failover.

  • Network performance tuning including MTU optimisation, jumbo frames, and QoS policies.

  • Experience with network observability, monitoring, SLIs, SLOs, alerting, and capacity planning.

  • Experience developing runbooks, participating in SRE on-call rotation, and driving reliability improvements from incident analysis.

  • Experience with AI/ML workload networking including RDMA, InfiniBand, RoCE, GPU-direct communication, and network tuning for distributed training workloads.

  • Knowledge/Hands-on with DWDM equipment is an advantage.

  • OpenShift, Kubernetes, OVN-Kubernetes, CNI, Ceph storage networking, VXLAN, and EVPN experience is an advantage.

  • Appreciation of data centre cabling and equipment design standards such as ANSI/TIA-568-D and EIA-310-E / IEC 60297-3-100 is an advantage.

  • Familiarity with modern software engineering practices - clean code, code review, testing strategies, and version control discipline - and experience with AI-assisted coding workflows including Spec-Driven Development (SDD), prompt engineering for code generation, and the use of AI coding tools (e.g. GitHub Copilot, Claude Code) in an engineering context.

What we offer you:   

GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.  

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.   

Learn more about life inside GovTech at go.gov.sg/GovTechCareers. 

Stay connected with us on social media at go.gov.sg/ConnectWithGovTech 

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