Full Stack Engineer (Python Django & ReactJS)

We are looking for a Full Stack Engineer to join our internal product development team at MDDI. You will be working on a sophisticated data-driven system with complex workflows that leverage AI models. You will work as part of a multi-disciplinary team, which includes data scientists, designers, and product managers. Your primary responsibility will be application development to implement new modules and enhance existing systems. We value self-starters with a strong sense of ownership, who work independently and take the initiative to solve problems as they arise. Individuals should demonstrate a strong ability to reach across domains (e.g. product, design, data science, etc.), learn quickly and engage meaningfully with other stakeholders/domain experts in order to better execute on your own tasks and deliver a well-integrated solution. Key Responsibilities . Develop and maintain full-stack applications using ReactJS with TypeScript for frontend and Python Django for backend . Build and enhance modules for our data-intensive system with complex AI powered workflows . Implement and maintain CI/CD pipelines using Gitlab . Implement and maintain automated testing scripts and quality assurance frameworks, including observability and monitoring tools . Collaborate closely with team members and provide technical insights and feedback . Participate in code reviews and contribute to technical architecture decisions Essential Technical Skills . At least 3 years of demonstrated experience with full-stack web application development . 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, as well as observability and monitoring using common DevOps tooling (e.g., Gitlab, Docker, Kubernetes, Elastic Stack) . Understanding of system design principles and proficiency in applying them to build performant, resilient and maintainable system, while balancing trade-offs with key stakeholders, incl. product decision makers and business owners