Take Your Career to the Next Level with Amaris Consulting as a Python Developer!Join a global consulting firm with a €800M turnover, over 1,000 clients worldwide, and a dynamic, agile environment. Be part of an international team driving innovation in the pharmaceutical sector through cutting-edge technology. We are looking for a skilled Python Developer to support the integration of advanced scientific models into a scalable digital platform.The ideal candidate will have a proven track record in building scalable, high-quality applications, with strong expertise in backend development, containerization, and cloud technologies.✍️ WHAT WOULD YOU NEED? ✍️- +4 years of experience as a Python Developer .- Experience in the pharmaceutical or life sciences industry, particularly in digital transformation or data integration projects.- Strong proficiency with Python, FastAPI/Flask, and RESTful APIs for backend development.- Experience with one or more frontend frameworks (React.Js or Angular ).- Solid knowledge of cloud platforms (AWS, Azure, or GCP) and version control tools such as Git .- Familiarity with containerization technologies (Docker and Kubernetes) and CI/CD pipelines.- Proven experience with microservices architecture and web services.- Advanced proficiency in English (written and spoken) – mandatory.- Strong problem-solving skills and ability to work both independently and as part of a distributed, cross-functional team.WHAT WILL YOU BE DOING?- Integrate mechanistic and data-driven models on the platform by restructuring and migrating original code to align with SMART PD requirements, functionalities, and user interface .- Collaborate closely with domain users (i.E., process experts, subject matter experts, and modelling specialists) to gather requirements and translate them into technical solutions.- Develop and extend features of SMART PD to significantly improve user adoption, usability, and satisfaction.- Write robust, maintainable, well-documented, and production-ready code following best practices.- Execute UX research and feedback loops to understand how features impact and improve the experience of scientific and operational users.