> Markdown version of [/jobs/ext/3569647-senior-backend-engineer-python](https://www.wearedevelopers.com/jobs/ext/3569647-senior-backend-engineer-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer (Python) - **Company:** EUROPEAN DYNAMICS LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Batch Processing, Software Quality, Continuous Integration, Software Debugging, Software Design Patterns, DevOps, JSON, Python (Programming Language), Knowledge-Based Systems, Software Architecture, Semantic Web, SPARQL, Extensible Markup Language (XML), YAML, Backend, Containerization, Codebase, Code Restructuring - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pou60wcapt ## About the Role * 3+ years of professional experience in backend development; * Strong proficiency in Python; * Experience with: * Apache Airflow and AWS; * Data-intensive or integration-heavy systems; * APIs, batch processing, and backend services; * Configuration-driven systems (XML / JSON / YAML); * Solid understanding of: * Software architecture and design patterns; * Debugging and working with legacy codebases; * Experience working in complex, multi-stakeholder projects (EU or public-sector projects is a plus). Nice-to-Have: * Familiarity with Semantic Web technologies (RDF, SPARQL, OWL); * Experience with data modelling or knowledge-based systems; * Exposure to DevOps practices (CI/CD, containerisation); * Experience contributing to or maintaining technical documentation (e.g. AsciiDoc, Antora). ## Description * Analyse, understand, and take ownership of an existing Python-based backend; * Refactor and enhance backend components with a focus on maintainability and performance; * Implement and maintain data processing pipelines and integration logic; * Collaborate closely with data/semantic engineers on RDF/SPARQL-driven workflows; * Contribute to architecture reconstruction and technical documentation; * Support deployment, configuration, and troubleshooting activities; * Ensure code quality through reviews, testing, and best practices.