Systems Engineer, Smart City Technology Division
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 seeking a high-caliber, multidisciplinary Systems Engineer to architect, build, and secure our next-generation connected ecosystem. This role requires vast technical breadth, operating at the absolute intersection of hardware interfaces, edge intelligence, and cloud-native architecture.
You are the systems thread that strings complex, end-to-end solutions together. From low-level device data ingestion to scalable cloud backends, driving prototypes into resilient, production-grade deployments. You will leverage modern AI-assisted development tools to rapidly generate, validate, and stitch solutions together at a high velocity.
This position requires a strategic systems thinker capable of evaluating emerging technologies through a practical lens-intelligently weighing technical debt, infrastructure constraints, and architectural longevity against immediate delivery goals
What You'll Do
1. End-to-End Architecture & Edge Orchestration
Lead the design, integration, and lifecycle strategy of resilient, scalable, and secure systems spanning physical IoT/OT devices, edge gateways, and multi-tenant cloud platforms.
Design low-latency, edge-compute workflows that process telemetry and sensor events locally to trigger real-time hardware actuators, relays, and automated control mechanisms.
Optimize data ingestion pipelines to ensure high availability, sub-second responsiveness, and operational stability under heavy transactional loads.
2. System Orchestration & AI-Assisted Development
Act as a technical force multiplier by utilizing AI-assisted engineering tools to rapidly develop, audit, and integrate code across the full stack-from low-level edge gateway scripts to backend cloud microservices and frontend workflows.
Focus heavily on architectural validation, code review, and systemic integrity, ensuring that AI-generated software components are performant, secure, and seamlessly connected.
Evaluate data processing frameworks objectively, intelligently weighing when to use traditional software logic, edge ML, or cloud-hosted AI models based on cost, compute constraints, and latency.
3. Hardware Interfacing & OT Protocols
Design and implement robust hardware-to-software interfaces utilizing serial, GPIO, USB, and network connections.
Orchestrate data ingestion using industrial and automation communication standards, ensuring seamless connectivity between sensory peripherals and core software layers.
Oversee and troubleshoot basic electronic configurations (e.g., wiring, power distribution, signal validation) during prototyping and field deployment.
4. DevOps, Security & Governance
Ensure all architectural designs comply with strict data privacy regulations, data residency requirements, and cloud governance guidelines.
[What we are looking for]
Experience: Minimum of 7+ years of professional experience in systems engineering, software development, or IoT/OT deployments, with a proven track record of architecting and shipping full-stack solutions.
Polyglot & Systems Literacy: Deep technical literacy across multiple environments, with the ability to confidently navigate and audit system/OOP languages (e.g., Go, C++, Java), scripting (Python, TypeScript), and standard frontend/backend application frameworks.
Hardware & Sensor Competency: Hands-on experience interfacing software with physical devices, hardware relays, camera arrays, or sensor infrastructure. Ability to handle feature extraction or signal processing at the edge is a significant plus.
Pragmatic AI Tools Fluency: Comfort and proficiency using modern AI coding tools and LLM APIs effectively within software architectures without over-engineering solutions.
Cloud Architecture Expertise: Advanced expertise in cloud-native application architectures, microservices, containerization (Docker, Kubernetes), and serverless infrastructure optimized for secure, high-volume data ingestion.
Security-First Mindset: Strong understanding of end-to-end security vectors, from physical device provisioning and hardware security modules (HSMs) to cloud IAM, network security, and global data privacy laws.
Education & Soft Skills: Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent practical systems experience. Exceptional systems-thinking capability with the ability to communicate complex technical abstractions clearly to cross-functional stakeholders.
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