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# Python Developer

- **Company:** Novartis
- **Location:** Barcelona, Spain
- **Salary:** €42,600.0 - €79,200.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Automation of Tests, Cloud Computing, Code Review, Continuous Delivery, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Software Architecture, Software Construction, Software Engineering, SQL Databases, Microsoft Power Automate, Large Language Models, Backend, Fastapi, Containerization, Information Technology, Microservices
- **Published:** September 12, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
 + Proven experience developing enterprise-grade Python applications in complex business environments.
 + Strong expertise in designing and building application programming interfaces and microservices.
 + Experience working with cloud platforms, preferably Amazon Web Services.
 + Solid knowledge of Structured Query Language, software architecture, and clean coding principles.
 + Demonstrated experience with container technologies, automated testing, and Continuous Integration and Continuous Delivery practices.

Desirable Requirements

 + Experience working with Artificial Intelligence, Machine Learning, or Data Engineering teams in production environments.
 + Exposure to Large Language Models, Microsoft Copilot, or Agentic Artificial Intelligence frameworks.

## Description

+ Design and develop scalable Python applications that support Artificial Intelligence and advanced Finance solutions.
 + Build secure, maintainable backend services and application programming interfaces for enterprise platforms.
 + Collaborate with Data Scientists to operationalize Machine Learning and Artificial Intelligence solutions.
 + Develop cloud-native applications and integrations using modern cloud and container technologies.
 + Optimize application performance, reliability, and scalability for business-critical workloads.
 + Drive engineering excellence through automated testing, code reviews, and Continuous Integration and Continuous Delivery practices.
 + Contribute to technical architecture decisions and mentor developers on software engineering best practices.


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