Fullstack Engineer

About the role

The Fullstack Engineer designs, develops, deploys and maintains scalable, high-performance and secure web applications. The role suits someone with strong software engineering fundamentals and experience delivering digital and AI-enabled products, working in an agile and DevOps-driven environment.

Key responsibilities

• Own end-to-end application development, integrating frontend, backend, cloud infrastructure and AI services.
• Design, develop and maintain responsive, accessible, high-performance web applications.
• Implement modern frontend architectures focused on reusability, scalability and security.
• Develop backend services and APIs, ensuring reliability, security and observability.
• Maintain adequate automated test coverage and resolve bugs and defects.
• Optimise CI/CD pipelines and deployment strategies for automated releases.
• Automate infrastructure provisioning, monitoring and cloud deployments using DevOps best practices.
• Ensure application security, including authentication, authorization, API security and frontend security.
• Own the delivery, enhancement and scaling of AI-enabled products in production.
• Evaluate and adopt emerging technologies to improve performance and developer productivity.

Required profile

• Degree or diploma in Computer Science, Computer Engineering, Information Technology or a related discipline.
• Experience delivering production-ready web applications and digital products across the full lifecycle.
• Experience developing and deploying LLM-powered features in production, including RAG, tool/function calling and agent workflows, and implementing AI guardrails.
• Bonus: experience in government or public-sector projects, familiarity with Microsoft Copilot, Azure OpenAI or other enterprise AI platforms, and experience with Kubernetes.

Required skills

• Frontend: JavaScript, TypeScript, React.js and/or Next.js, responsive design; Material-UI or Tailwind CSS.
• Backend: Node.js (Express.js or NestJS) and/or Python (FastAPI, Flask or Django); RESTful APIs, GraphQL and WebSockets; Redis, rate limiting, horizontal scaling and load balancing.
• DevOps and cloud: Git, GitLab CI/CD, AWS, Docker, containerisation, monitoring and observability tools.
• Security: authentication and authorisation (OAuth, JWT), API security, OWASP Top 10 for LLM applications.
• Testing: unit and integration testing, automated testing frameworks.