

Backend Python Developer
Swisslinx
- 24.02.2026
- 95%
- Fachverantwortung
- Temporär
Backend Python Developer
As a Backend Python Developer, you will play a key role in designing and implementing robust backend components within a modern cloud-native…
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
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)
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