Backend Python Engineer
Coopers Group AG
| Company | Coopers Group AG |
| Category | Engineering |
| Location | Meyrin |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 7 Aug 2026 |
| Source | The employer's own careers page (company_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