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Backend Python Engineer

Coopers Group AG
CompanyCoopers Group AG
CategoryEngineering
LocationMeyrin
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen2 Aug 2026 (the employer did not state a posting date)
Last verified7 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Your Task: • Design, develop and operate backend services using Python • Build and maintain scalable data ingestion and processing pipelines for scientific metadata and full-text content • Modernise existing ingestion workflows and migrate processes to Apache Airflow • Design and implement robust REST APIs for internal applications, partners and external tools • Develop and optimise search capabilities using OpenSearch , including indexing strategies and relevance tuning • Support the integration of AI-driven retrieval solutions and Model Context Protocol services • Improve data quality through enrichment, deduplication and automated processing workflows • Contribute to the modernisation of digitisation and archival services • Support large-scale data migrations while ensuring metadata consistency and quality • Develop containerised applications and support modern deployment processes • Implement automated testing, code reviews, monitoring and CI/CD practices • Contribute to open-source software and support the Open Science community Your Profile: • University degree in Computer Science or a related field with relevant professional experience • Strong professional experience in backend development with Python • Hands-on experience with Python frameworks such as Django, Flask and FastAPI • Solid experience designing and developing REST APIs • Strong understanding of relational databases such as PostgreSQL and document databases • Practical experience with search technologies such as OpenSearch / Elasticsearch , including indexing and relevance tuning • Experience with Docker, Kubernetes, Git and CI/CD pipelines • Knowledge of asynchronous programming, automated testing and software engineering best practices • Experience with large-scale data processing, metadata-driven systems and data pipelines • Experience with Apache Airflow or similar workflow orchestration tools is an advantage • Knowledge of AI-driven retrieval systems and AI/LLM integrations is a plus • Familiarity with digital archiving, content management systems or scientific information platforms is an advantage • Strong analytical and problem-solving skills with a focus on developing reliable, scalable and maintainable software solutions • Proactive, quality-oriented team player with strong ownership and ability to work effectively in multicultural environments • Excellent spoken and written English skills