Full Stack Engineer

The Full Stack Engineer is responsible for designing, developing, deploying, and maintaining scalable, high-performance, and secure web applications. The role requires strong software engineering fundamentals and experience delivering digital and AI-enabled products. Engineers must work in an agile, DevOps-driven environment, contributing to the development, deployment, and scaling of these products while ensuring high software quality, maintainability, security, and continuous improvement.

Key Responsibilities:

• Take full ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure, and AI services
• Design, develop, and maintain responsive, accessible, and performant web applications
• Implement modern frontend architectures, ensuring reusability, scalability, and security
• Develop backend services and APIs, ensuring reliability, security, and observability
• Ensure adequate automated test coverage and proactively fix bugs and defects
• Optimize CI/CD deployment strategies, ensuring seamless and automated releases
• Automate infrastructure provisioning, monitoring, and cloud deployments using DevOps best practices
• Ensure application security, including authentication, authorization, API security, and frontend security best practices
• Own the delivery, enhancement, and scaling of AI-enabled products in production
• Continuously evaluate and adopt emerging technologies to improve application performance and developer productivity

Requirements:

Full Stack Development:

• Degree or Diploma in Computer Science, Computer Engineering, Information Technology, or related disciplines
• Experience with Git and modern branching workflows
• Strong proficiency in both frontend and backend development
• Experience delivering production-ready web applications and digital products across the full lifecycle, including development, testing, deployment, and production support

Frontend Technologies:

• JavaScript and TypeScript
• Frontend frameworks such as React.js and/or Next.js
• Experience building responsive and user-centric web applications
• Familiarity with UI component libraries such as Material-UI or Tailwind CSS

Backend Technologies:

• Node.js (Express.js, NestJS) and/or Python (FastAPI, Flask, Django)
• Strong experience designing and developing RESTful APIs
• Familiarity with GraphQL and WebSockets
• Caching (e.g. Redis), API rate limiting, and scalability patterns (horizontal scaling, load balancing)
• Experience integrating with enterprise systems and third-party platforms

AI Application Development:

• Hands-on experience building LLM-powered features in production, including retrieval-augmented generation (RAG), tool or function calling, and agent workflows
• Experience implementing guardrails and evaluating LLM output quality
• Proficient in using AI coding assistants with sound engineering discipline

DevOps, Cloud, and Infrastructure:

• Experience with GitLab CI/CD pipelines and modern DevOps practices
• Hands-on experience with AWS cloud services and architectures
• Experience with containerisation technologies such as Docker
• Familiarity with application monitoring and observability tools

Security Best Practices:

• Awareness of LLM-specific risks such as prompt injection and sensitive data leakage (e.g. OWASP Top 10 for LLM Applications)
• Experience implementing authentication and authorisation mechanisms (OAuth, JWT)
• Knowledge of API security and secure coding practices
• Familiarity with cloud security concepts and OWASP Top 10

Software Quality & Testing:

• Experience with unit and integration testing
• Experience with automated testing frameworks
• Experience troubleshooting and resolving production issues

Preferred Qualifications:

• Experience delivering projects within the Singapore Government or Public Service sector
• Familiarity with government security, governance, and compliance requirements
• Experience with Microsoft Copilot, Azure OpenAI, or other enterprise AI platforms
• Experience developing AI agents, copilots, chatbots, or workflow automation solutions
• Familiarity with Kubernetes and container orchestration platforms