Senior Python Engineer (m/f/d) - Network Planning
FlixAt 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.
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.
Opens the company's application page
Listed via
Arbeitnow
arbeitnow.com
Similar roles
Design & Tech
Related reads from TCHNX
The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.
The Quiet Revolution in Edge AI: Why Your Next Computer Might Not Need the Cloud
As neural processing units become standard in consumer devices, we're witnessing a fundamental shift in how AI applications work. Local processing is no longer a fallback; it's becoming the preferred architecture.
The Rise of AI-Assisted Code Generation 2: Are Developers Becoming Prompt Engineers?
As AI coding assistants reshape software development, the industry grapples with a fundamental question: is writing code giving way to writing prompts? We examine how London's tech scene is adapting to this seismic shift.