M68 - Full Stack Engineer

Role Overview We are seeking a Full Stack Engineer to support multiple product squads working with government agencies to redesign workflows and develop AI-enabled solutions. The successful candidate will be responsible for transforming prototypes into reliable, production-ready applications by improving code quality, implementing testing frameworks, managing deployments, and providing technical support during pilot and implementation phases. This role requires a versatile engineer who is comfortable working across full-stack development, DevOps, testing, and troubleshooting in a fast-paced environment. Key Responsibilities • Develop, maintain, and enhance full-stack web applications, including frontend, backend, APIs, and system integrations. • Refactor and productionise prototypes by improving code quality, architecture, maintainability, performance, and reliability. • Set up, configure, and maintain development, testing, and deployment environments. • Implement and optimise CI/CD pipelines, containerisation, and automated deployment processes. • Establish logging, monitoring, observability, and alerting mechanisms to ensure application stability during pilots and production deployments. • Design, develop, and execute unit, integration, regression, and end-to-end testing. • Investigate, troubleshoot, and resolve application defects and technical issues identified during user testing and live pilots. • Collaborate with Product Managers, engineers, and government agency stakeholders to address technical challenges and support successful implementation. • Support multiple product squads and ensure timely delivery of technical solutions. • Apply software engineering best practices, including version control, code reviews, automated testing, and technical documentation. Requirements • Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, or a related discipline preferred. • Proven experience in developing, deploying, and maintaining full-stack web applications. • Proficiency in modern frontend technologies, particularly React and TypeScript. • Experience in backend development using Python-based frameworks. • Hands-on experience with RESTful APIs, application integrations, and modern software development practices. • Experience with DevOps tools and practices, including Docker, CI/CD pipelines, and cloud or container-based deployment environments. • Familiarity with Git, automated testing, code reviews, and software development best practices. • Understanding of application logging, monitoring, observability, and troubleshooting. • Strong debugging, analytical, and problem-solving skills. • Ability to work independently across multiple projects in a fast-paced and dynamic environment. • Strong communication, collaboration, and stakeholder management skills. • Proactive mindset with a strong sense of ownership and commitment to delivering production-ready solutions. Preferred Qualifications • Experience developing or deploying AI-enabled applications, Large Language Model (LLM) workflows, or agentic AI systems. • Experience supporting application pilots, production deployments, and post-implementation activities. • Prior experience working with government agencies or public sector digital transformation projects will be advantageous.