Fullstack Engineer

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

Key Responsibilities:

• Take ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure and AI services.
• Design, develop and maintain responsive, accessible and high-performance web applications.
• Implement modern frontend architectures with a focus on reusability, scalability and security.
• Develop backend services and APIs, ensuring reliability, security and observability.
• Ensure adequate automated test coverage and proactively identify and resolve bugs and defects.
• Optimize CI/CD pipelines and deployment strategies to enable seamless and automated software 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 Required:

Full-Stack Development

• A degree or diploma in Computer Science, Computer Engineering, Information Technology or a related discipline.
• Experience with Git and modern version control and branching workflows.
• Strong proficiency in both frontend and backend development.
• Experience delivering production-ready web applications and digital products across the full development lifecycle, including development, testing, deployment and production support.

Frontend Technologies

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

Backend Technologies

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

AI Application Development

• Hands-on experience developing and deploying LLM-powered features in production environments, including Retrieval-Augmented Generation (RAG), tool/function calling and agent workflows.
• Experience implementing AI guardrails and evaluating Large Language Model (LLM) output quality.
• Experience using AI coding assistants to support software development, with the ability to review, validate and maintain the quality and security of generated code.

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 security risks, including prompt injection and sensitive data leakage, as outlined in the OWASP Top 10 for LLM Applications.
• Experience implementing authentication and authorisation mechanisms, including OAuth and JSON Web Tokens (JWT).
• Knowledge of API security and secure coding practices.
• Familiarity with cloud security concepts and OWASP Top 10 security risks.

Software Quality and Testing

• Experience with unit and integration testing.
• Experience with automated testing frameworks.
• Ability to troubleshoot and resolve production issues effectively.

Bonus Experience (Added Advantage)

• Experience delivering projects in government or public-sector environments.
• 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.