Food Traceability Python Developer (Backend)

Python Developer (Backend) Location: [Remote] Type: [Full-time] Seniority: [Mid / Senior] About The Role We're looking for a Python Developer to join our team and help build the backend services that power a food traceability engine. You'll work on a system centred on connected data (events, locations, products and the relationships between them) and on the integrations that keep that data flowing between our partners and our platform. This is a hands-on role for someone who likes clean, typed, well-tested code, and who can take an ambiguous problem, break it down, and see it through to production. What you'll do Build and maintain Python services using FastAPI, async patterns and MongoDB with the Beanie ODM Model and query connected data (events, locations, products) and design efficient ways to traverse the relationships between them Write and maintain connectors, integrations that reliably move data between partner systems and our platform Ship with tests, code review and CI from day one Collaborate closely with the team: take part in standups, keep project tracking up to date, and raise questions and blockers early What we're looking for Required Strong Python experience, including typed, async and well-tested code Solid understanding of modelling and querying relational and connected data: entities, relationships, and how to traverse them efficiently Self-driven, able to turn an ambiguous problem into a clear plan and run with it Strong team communication. You show up to standups, keep tracking current, are responsive on Slack, and surface issues clearly and early Comfortable using AI coding tools while staying healthily sceptical. You verify their output and don't trust it blindly Experience with modern engineering practices: GitHub, CI/CD pipelines, project tracking tools, linting, automated testing and TDD, debugging, and high-availability software practices Nice to have Experience building integrations with third-party APIs (REST, webhooks, data sync) Familiarity with graph-style data modelling or graph databases Experience with Docker and cloud deployment