M65 - Full Stack Engineer

About the role We are looking for a Full Stack Engineer to join our internal product development team. You will be working on a sophisticated data-driven system with complex workflows that leverage AI models. As part of our collaborative team, you'll be responsible for developing new modules and enhancing existing systems. We value engineers who speak up, provide constructive feedback, and contribute to technical discussions that drive our product forward. Key responsibilities Develop and maintain full-stack applications using ReactJS with TypeScript for frontend and Python frameworks (e.g. Django/FastAPI) for backend Build and enhance modules for our data-intensive system with complex AI-powered workflows Implement and maintain CI/CD pipelines using Gitlab Develop automated testing scripts and quality assurance frameworks Collaborate closely with team members and provide technical insights and feedback Participate in code reviews and contribute to technical architecture decisions Essential requirements At least 3 years of demonstrated experience with full-stack web application development Experience working in a development team and with CI/CD tools (e.g., Git) Proficiency with JavaScript/TypeScript frameworks (e.g., ReactJS, AngularJS) to develop customised front-end components Proficiency with Python web frameworks (e.g., Django, Flask, etc.) or back-end frameworks (e.g. FastAPI) with preference for Django Understanding of DevOps principles and proficiency with automation of software testing and deployment processes for containerized applications using common DevOps tooling (e.g., Gitlab, Docker, Kubernetes) Understanding of software architecture principles, system design, and building resilient distributed systems Experience making technical decisions that balance performance, maintainability, and business requirements Preferred requirements Experience with developing application software components (e.g. front-end, back-end) of customised digital solutions that involve a substantial integration of AI and data analytics, including working in multi-disciplinary teams including data scientists and data engineers Experience with observability and monitoring tools (e.g: OpenTelemetry)