Backend Python Engineer

Coopers Group AG

Backend Python Engineer developing scalable backend solutions for scientific discovery platforms in Geneva. Focusing on data pipelines, AI access, and production systems.

Posted 7/24/2026full-timeRemote • 🇨🇭 SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development using Python, with a strong focus on designing and implementing REST APIs, managing scalable data processing pipelines, and optimizing search capabilities with OpenSearch. Proficient in modern deployment practices, including containerization and CI/CD, while ensuring data quality and consistency.

Highest-signal resume keywords

Backend Development With PythonREST API Design And DevelopmentOpenSearch/Elasticsearch ExperienceDocker And Kubernetes ProficiencyCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonDjangoFlaskFastAPIPostgreSQLOpenSearchApache AirflowData Processing PipelinesAutomated TestingAsynchronous Programming

Soft Skills

Analytical SkillsProblem-Solving SkillsTeam PlayerProactive AttitudeMulticultural Communication

Tools & Technologies

DockerKubernetesGitCI/CDContent Management Systems

Certifications & Qualifications

University Degree In Computer Science

Industry Keywords

Scientific MetadataDigital ArchivingOpen-Science CommunityAI-Powered Retrieval SystemsMetadata Consistency

Tech Stack

Tools & technologies

AirflowApacheDjangoDockerElasticSearchFlaskKubernetesPostgresPython

About the role

Key responsibilities & impact

Design, develop and operate backend services using Python
Build and maintain scalable ingestion and processing pipelines for scientific metadata and full-text content
Modernize existing intervention workflows and migrate processes to Apache Airflow
Design and implement robust REST APIs for internal applications, partners and external tools
Optimize search capabilities with OpenSearch, including indexing strategies and relevance tuning
Support integration of AI-powered retrieval solutions and model context logging services
Improve data quality through enrichment, deduplication and automated processing workflows
Contribute to the modernization of digitization and archiving services
Execute large-scale data migrations while ensuring metadata consistency and quality
Develop containerized applications and support modern deployment processes
Implement automated tests, code reviews, monitoring and CI/CD practices
Contribute to open-source software and support the open-science community.

Requirements

What you’ll need

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 in designing and developing REST APIs
Strong knowledge of relational databases such as PostgreSQL and document databases
Practical experience with search technologies such as OpenSearch/Elasticsearch
Experience with Docker, Kubernetes, Git and CI/CD pipelines
Knowledge of asynchronous programming, automated testing and software development best practices
Experience with large-scale data processing, metadata-driven systems and data pipelines
Experience with Apache Airflow or similar workflow orchestration tools is a plus
Knowledge of AI-powered retrieval systems and AI/LLM integrations is a plus
Familiarity with digital archiving, content management systems or scholarly information platforms is an advantage
Strong analytical and problem-solving skills with a focus on building reliable, scalable and maintainable software solutions
Proactive, quality-oriented team player with a strong sense of responsibility and the ability to work effectively in multicultural environments
Excellent spoken and written English.

Benefits

Comp & perks

No specific benefits provided.