Senior Software Engineer (Python)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Tasks

• Design and develop scalable software solutions using Python. • Develop and maintain applications and services interacting with Databricks-based data platforms. • Work with Azure Cloud, microservices and containerization technologies (Docker, Kubernetes). • Focus on quality standards through TDD, code reviews and automated testing. • Collaborate closely with Scrum Masters, Architects and development teams to deliver client requirements. • Participate in engineering community initiatives, recruitment processes and knowledge-sharing activities.

Your Profile

• Strong hands-on experience in Python development using frameworks such as FastAPI, Flask or Django. • Experience in designing and implementing REST APIs and working with relational and/or NoSQL databases (Oracle, PostgreSQL, MySQL, Cosmos DB, DynamoDB). • Experience with microservices architecture and containerized applications (Docker, Kubernetes). • Experience with cloud-based solutions, preferably Azure. • Experience working with Databricks in software development projects. • Ability to write clean, maintainable code following modern software engineering practices (TDD, code reviews, automated testing). • Experience with Git and collaborative development workflows. • Good understanding of Linux environments and command-line tools. • Fluent English.

Nice to have

• Experience with Java. • Experience with AWS services. • Experience with frontend technologies (Angular, React or Vue.js). • Experience using AI-assisted development tools such as GitHub Copilot or Claude Code • Experience designing or developing AI Agents and Agentic AI solutions.

Frequently used technologies

• Python (FastAPI, Flask, Django, NumPy, Pydantic, Pytest) • Databricks • Azure Cloud (ADF, Data Lake Storage, App Services) • Docker, Kubernetes • Oracle, PostgreSQL, MySQL, MS SQL Server, Cosmos DB, DynamoDB • Linux • Git

What You'll love about working here

• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. • Practical benefits private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Medicover Sport.