Full Stack Engineer
Posted Updated 27
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Summary
Full stack engineer building a data-intensive platform that runs complex AI-powered workflows: React/TypeScript front end with Python (Django/FastAPI) back end, plus GitLab CI/CD, Docker/Kubernetes deployments, automated testing and architecture decisions alongside engineers and data scientists. Requires 4+ years of experience; based in Singapore.
Responsibilities
- Engineer and support full stack applications, working across ReactJS with TypeScript on the front end and Python frameworks such as Django or FastAPI on the back end.
- Construct new modules for a data intensive platform that runs complex workflows powered by AI models.
- Extend and refine existing system components to improve functionality, performance and reliability.
- Craft customised front end components that translate product requirements into responsive user interfaces.
- Set up and manage CI/CD pipelines within GitLab to streamline release cycles.
- Author automated test scripts and establish quality assurance frameworks across the codebase.
- Configure containerised deployment and automation workflows using tooling such as Docker and Kubernetes.
- Partner with fellow engineers, data scientists and data engineers to deliver integrated solutions end to end.
- Review peers' code and offer constructive technical input during team discussions.
- Weigh in on technical architecture decisions, balancing performance, maintainability and business needs.
- Degree or diploma in Computer Science, Software Engineering, Information Technology or a related discipline.
- Minimum 4 years of relevant experience in full-stack web application development within a collaborative development environment.
- Strong proficiency in JavaScript or TypeScript frameworks, particularly ReactJS or Angular, together with hands-on experience using Python web or backend frameworks such as Django, Flask or FastAPI.
- Practical knowledge of DevOps practices, version control, automated testing and deployment of containerised applications using tools such as Git, GitLab, Docker and Kubernetes.
- Sound understanding of software architecture, system design and resilient distributed systems, with strong communication, problem-solving and technical decision-making skills.