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 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.
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 to scale with high code quality standards.
The product's algorithm engine is developed by Operations Research Engineers using mathematical optimization. As a Senior 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.
At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable.
If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey!
At Flix, we are committed to fostering diversity and inclusion. To support this initiative, we invite all applicants to complete our demographic questions on a voluntary basis. Your responses will be processed as anonymized data and not linked to your profile, and thus assessed for statistical purposes and internal research. If you prefer not to provide this information, simply click on "I do not wish to answer." Be assured that neither the decision not to participate nor your answers will have an impact on your application, and your answers will remain anonymous and unidentifiable to you individually. The decision on your application will be made independently from your participation and the information you provide.
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#J-18808-LjbffrVeröffentlichungsdatum:
03 Mai 2026Standort:
BerlinEinsatzort:
GermanyTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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