Job Opportunities API

At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a culture of collaboration and ownership.   We're looking for an experienced  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 directly supports network planners in scheduling vehicles, drivers, and timetables — improving travel experiences for millions of passengers while driving profitability.   Our team builds and maintains an optimization platform addressing use cases from vehicle and driver scheduling to timetable optimization. We follow modern system design — Domain-Driven Design, Hexagonal Architecture, and SOLID principles — with strict architectural boundaries enforced by tooling. Our backend workloads (APIs, event consumers, Kubernetes jobs) are built with high code quality standards.   The product's algorithm engine is developed by Operations Research Engineers using mathematical optimization. As a Python Engineer, you will own the engineering shell around these algorithms: the APIs, use cases, data pipelines, infrastructure, and the domain models that connect optimization output to the rest of the system.   You'll collaborate closely with other engineering teams to design and implement the interfaces and contracts that connect our platform to the wider system landscape. Our current tech stack and toolset include:   Python, TypeScript, Shell scripting   Flask, React, Pytest   PostgreSQL, Confluent Kafka, DataDog   AWS tools, Terraform GitLab, Kubernetes, Docker, Azure AD   About the Role 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 Work in an AI-augmented development workflow — actively using code agents and AI assistants as a natural part of how you ship software 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 About You Academic background in Computer Science or equivalent 3+ years of experience in backend software engineering with Python You're comfortable driving alignment across teams — designing interfaces, agreeing on contracts, and taking end-to-end ownership of integrations It's beneficial is you have experience with modern front-end stack (some basic front-end tasks are part of our scope) Experience applying clean architecture principles (hexagonal, ports-and-adapters, DDD) or similar approaches in production  Experience with relational databases (PostgreSQL) and event-driven systems (Kafka or similar) Hands-on experience with AI-augmented development and eager to make it a core part of how you 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) Familiarity with mathematical optimization or data-intensive applications is a plus We recognize that everyone carries a unique set of valuable skills and experiences