Senior Fullstack Developer

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. EXPERIENCE AND SKILLS NEEDED: 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. Bonus Experience (Added Advantage): • 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.