Academic background in Computer Science or equivalent 5+ years of experience in backend software engineering with Python Experience applying clean architecture principles (hexagonal, ports-and-adapters, DDD) or similar approaches in production — able to contribute from day one Experience with relational databases (PostgreSQL) and event-driven systems (Kafka or similar) Strong experience in AI-augmented development — actively using code agents or AI assistants in daily work Solid experience with containerization (Docker, Kubernetes) and CI/CD pipelines Familiar with testing best practices: unit, integration, acceptance testing Experience with cloud platforms (AWS or similar) and infrastructure as code (Terraform) Experience with modern front-end stack (some basic front-end tasks are part of our scope) Familiarity with mathematical optimization or data-intensive applications is a plus

We''re looking for an experienced Senior Python Engineer (m/f/d) to join our Supply Division. You''ll make an impact by taking ownership of core backend systems that power our network planning optimization product. Your work will directly support network planners in scheduling vehicles, drivers, and timetables — improving travel experiences for millions of passengers while driving profitability. Own and evolve the backend: APIs, use case layer, domain models, serialization, and event-driven pipelines (Kafka) Take engineering ownership of new product modules — designing the architectural scaffold, wiring layers, and ensuring clean boundaries Build and maintain infrastructure: Kubernetes deployments, CI/CD pipelines, and cloud resources (AWS) Collaborate closely with Operations Research Engineers to integrate optimization algorithms into the product Contribute to architecture decisions and uphold code quality through reviews, testing, and continuous improvement Write well-tested, self-documenting code following hexagonal architecture patterns Share your expertise and mentor colleagues, promoting a culture of knowledge sharing and learning Work in an AI-augmented development workflow — actively using code agents and AI assistants as a natural part of how you ship software