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You will ensure the stability and scalability of the AWS-based infrastructure and Kubernetes clusters. You will design, implement and improve CI/CD pipelines and security for databases and applications.

As a working student, you will work on modern data products using cloud technology and API-driven frontends. Your tasks include implementing SQL-based data structures, planning data pipelines with quality checks, and implementing infrastructure as code.

Develop robust Python code for AI and RAG architectures and integrate external services, pipelines, or APIs into the containerized platform. Collaborate with frontend, cloud, and product teams to embed AI functionality in the product, and test and operate Python modules (unit tests, integration, containerization)

Shaping the backend architecture from the ground up, ensuring scalability, security, and performance. Integrate the simulator platform with the inference platform to deliver an end-to-end system and define backend patterns, APIs, and data models.

Maintain and expand n8n workflows for product grading, description, pricing, and marketplace integration. Build Python scripts for scraping, data cleaning, and benchmarking, and integrate e-commerce APIs while ensuring data quality.

Shape your position in a cross-functional team by contributing to backend and frontend development. Implement API development (GraphQL preferred) and build user-focused frontends using Vue/Nuxt, Tailwind, CSS, JavaScript, and TypeScript.

You will work in a small team of experienced colleagues to further develop our document management system as a strategic product. You will collaborate closely with experienced developers to implement changes and features according to customer needs and the product vision.

Lead software projects in the medical technology field from requirements analysis to delivery. Advise customers on software architecture and regulatory requirements (IEC 62304) and mentor development teams to apply best practices.

Develop and maintain the Flutter-based frontend and Python-based backend. Take ownership of features end-to-end from architecture to deployment.

Lead SRE initiatives within the Platform Engineering Team, advising software delivery teams on SRE principles and enhancing the internal developer platform. Implement monitoring, alerting, incident response, and capacity planning to ensure high reliability and meet SLOs.