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Backend Python Developer

Technologie
Swisslinx
Basel, SchweizVor 1 MonatenBis 26.4.2026
VollzeitHybrid

Stellenbeschreibung

  • *Job Description**
As a Backend Python Developer, you will play a key role in designing and implementing robust backend components within a modern cloud-native architecture.
  • *Your Main Tasks Will Include
  • Developing scalable backend services using Python
  • Designing and implementing high-performance REST APIs
  • Integrating machine learning components and multi-agent frameworks
  • Collaborating closely with cross-functional teams to define technical interfaces
  • Deploying and operating services in Kubernetes environments using GitOps principles
  • Enhancing system quality through testing strategies, performance tuning, and tooling
  • *About The Customer
For a globally leading pharmaceutical company based in Basel, we are currently looking for an experienced
  • *Backend Python Developer (m/f/d)**
to join an innovative Data & Digital environment within the Computational Sciences domain.

The position is part of a strategic and award-winning initiative focused on building a scalable and unbiased evaluation platform for scientific target proposals. The project integrates selected open-source multi-agent systems and LLM-based frameworks into a comprehensive ranking solution that supports research and translational medicine teams.

  • *Project Details
  • Start date: ASAP (latest May 1, 2026)
  • Duration: Until December 31, 2026, with possible extension
  • Workload: 100%
  • Location: Basel (up to 2 days remote per week)
  • *Requirements
You hold a Bachelor’s or Master’s degree in Computer Science, Engineering, Bioinformatics, Information Systems, or a related field — or bring equivalent professional experience.
  • *Additionally, You Bring**
  • 5+ years of experience in Python backend development
  • Solid hands-on experience in REST API design
  • Experience with CI/CD pipelines (ideally GitLab)
  • Strong understanding of containerized environments and Kubernetes
  • Exposure to ML engineering, ideally within life sciences or data-driven environments
  • Knowledge of LLMs or multi-agent frameworks is a strong plus
  • Excellent English communication skills
Keywords
back-endpythondevelopercloud-nativearchitectureservicesperformancerestrest-apisapismachine-learninglearningkubernetestestingdataenvironmentdomainopen-sourcesystemsresearchremotecomputer-sciencescienceengineeringbioinformaticsprofessionaldevelopmentsolidrest-apiapiapi-designdesignci-cdgitlabmllife-sciencesdata-drivenknowledgeenglishcommunication

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