Backend Python Engineer

This is a fully remote position, open to applicants in Switzerland.

📋 Description

• Design, develop, and manage backend services utilizing Python.

• Create and sustain scalable ingestion and processing pipelines for scientific metadata and full-text content.

• Revamp existing intervention workflows and transition processes to Apache Airflow.

• Design and deploy robust REST APIs for internal applications, partners, and external tools.

• Enhance search functionalities with OpenSearch, including strategies for indexing and relevance adjustments.

• Assist in the integration of AI-driven retrieval solutions and logging services for model context.

• Elevate data quality through enrichment, deduplication, and automated processing workflows.

• Participate in the modernization of digitization and archiving services.

• Carry out large-scale data migrations while ensuring the consistency and quality of metadata.

• Create containerized applications and facilitate modern deployment processes.

• Implement automated testing, code reviews, monitoring, and CI/CD practices.

• Contribute to open-source software initiatives and support the open-science community.

⛳️ Requirements

• Hold a university degree in Computer Science or a related discipline, along with relevant professional experience.

• Possess strong professional experience in backend development with Python.

• Have hands-on experience with Python frameworks such as Django, Flask, and FastAPI.

• Demonstrate solid experience in designing and developing REST APIs.

• Have a strong understanding of relational databases like PostgreSQL and document databases.

• Possess practical experience with search technologies, including OpenSearch/Elasticsearch.

• Be familiar with Docker, Kubernetes, Git, and CI/CD pipelines.

• Understand asynchronous programming, automated testing, and best practices in software development.

• Have experience with large-scale data processing, metadata-driven systems, and data pipelines.

• Experience with Apache Airflow or similar workflow orchestration tools is advantageous.

• Knowledge of AI-driven retrieval systems and AI/LLM integrations is a plus.

• Familiarity with digital archiving, content management systems, or scholarly information platforms is beneficial.

• Exhibit strong analytical and problem-solving skills, focusing on the development of reliable, scalable, and maintainable software solutions.

• Be a proactive, quality-oriented team player with a strong sense of responsibility and the ability to collaborate effectively in multicultural settings.

• Possess excellent spoken and written English skills.

🏝️ Benefits

• No specific benefits provided.