Data Centre Network Engineer - Fabric, Automation & Network AI

Full Job Description

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade. ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, governance and assurance services as well as managed processes. In a dynamic digital & cyber landscape where trust & collaboration is key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

Data Centre Network Engineer – Fabric,Automation & Network AI

Build the high-performance network fabric behind critical digital services. Join a fast-moving engineering team where you will design, secure and operate resilient data centre networks, solve complex production challenges and turn automation and AI ideas into practical operational capabilities. This role combines deep data centre networking expertise with the opportunity to codify infrastructure, reduce manual work and shape a more intelligent way of running the network.

• Design, build, and evolve high‑availability data centre networks, including leaf–spine fabrics, switching, routing, firewalls, load balancers, segmentation, and inter‑data‑centre connectivity.
• Engineer and operate scalable underlay and overlay networks using technologies such as Ethernet, VLAN, MLAG/vPC, OSPF, BGP, VXLAN, and EVPN.
• Personally operate mission‑critical network services in‑house, with direct responsibility for availability, capacity, performance, and reliability.
• Perform hands‑on troubleshooting across physical, switching, routing, security, and application‑delivery layers, restoring services and driving permanent fixes.
• Build and maintain automation using Network‑as‑Code practices to support provisioning, validation, compliance checks, testing, deployment, and drift detection.
• Use telemetry and observability data to proactively identify risks, optimise performance, and support future growth.
• Explore and apply automation, AI, and AIOps techniques (e.g. anomaly detection, predictive insights, AI‑assisted troubleshooting) to improve operational efficiency.
• Work closely with cloud, compute, storage, cybersecurity, and application teams to deliver secure, reliable connectivity.
• Evaluate new technologies and challenge vendor proposals, adopting solutions that can be effectively automated and operated in‑house.

Requirements

What You Will Bring

You are a curious, hands-on engineer who enjoys working on complex data centre environments, combines strong networking fundamentals with sound operational judgement, and is motivated to automate and continuously improve.

• At least three years of hands-on network engineering experience, with a strong focus on data centre or other mission-critical environments.
• Strong knowledge of TCP/IP, Ethernet,VLANs, Layer 2 and Layer 3 networking, routing and switching, high availability and network segmentation.
• Practical experience with data centrefabric concepts and technologies such as leaf-spine architecture, BGP, OSPF, VXLAN, EVPN, MLAG or vPC.
• Experience designing, configuring and troubleshooting data centre switches, firewalls and load balancers from Cisco,Check Point, Palo Alto or equivalent vendors.
• Good understanding of north-south and east-west traffic flows, application dependencies, capacity management and resilient connectivity patterns.
• Experience with network monitoring,streaming telemetry, packet analysis, performance metrics and disciplined incident and problem management.
• An automation mindset, with experience or strong interest in Python, Ansible, Terraform, APIs, data models,Git, CI/CD pipelines or automated testing.
• Ability to translate network standards and intended state into version-controlled, reusable and testablecode or configuration artefacts.
• Curiosity about Network AI and AIOps,with the ability to identify, prototype and safely evaluate use cases that improve detection, analysis, decision support and workflow efficiency.
• Strong analytical and troubleshooting skills, attention to detail and the confidence to make sound decisions during high-impact incidents and changes.
• Clear communication and collaboration skills, with the ability to explain technical trade-offs and work effectively across engineering disciplines.
• Cisco CCNA, CCNP Data Center or equivalent networking, security or automation certifications will be advantageous.

Why Join Us

You will work on meaningful, high-stakes engineering challenges and gain exposure to modern data centre fabrics, security platforms, automation tooling and AI-enabled operations. You will have the space to experiment, the responsibility to deliver production-grade outcomes and the opportunity to help create a network environment that is more programmable, observable, resilient and intelligent.

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions!

The remuneration package will commensurate with your qualifications and experience. Interested applicants, please click "Apply Now".

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS’s privacy statement which can be found at: https://www.assurity.sg or such other successor site.

Benefits

• A wholly-owned subsidiary of GovTech.
• We promote a learning culture and encourage you to grow and learn.
• Annual Leave Benefits with additional perks such as Family Care and Birthday Leave.
• Contract Staff enjoys the same benefits as Permanent Employees

Discovered directly from the employer’s public Workable account endpoint with details=true where supported. Public description, responsibilities, requirements and benefits were normalized into complete candidate-facing sections.