Python Backend Developer

Werum IT Solutions - inCyght Data Science

Principle Roles & Responsibilities



  • Design and build robust, scalable and secure backend services and APIs

  • Work on state-of-the art data science applications for the biotech industry, using modern software development techniques

  • Implement new functionalities, in close cooperation with our data scientists, frontend developers and UX/UI experts

  • Design and discuss implementation options and considerations together with the rest of the development team

  • Work closely with technical product owner, Scrum team and other stakeholders to ensure constant team alignment and continuous improvement

  • Draft and communicate architectural decisions together with the team and evaluate new technologies or products

  • Drive innovation and exchange knowledge with other developers and DevOps experts to optimize software development and delivery processes


Background & Qualifications



  • At least 3 years of hands-on experience with any kind of backend development (Python, Django, Docker)

  • A good understanding of client/server communication methodologies (REST, WebSocket), and database communication and architecture (PostgreSQL, Django ORM)

  • Experience with libraries used for data science applications, like numpy, scipy, sklearn or similar

  • Practical experience with software development basics like source code management systems and issue tracking

  • You’re enthusiastic about code quality, simplicity, security and performance

  • You are proficient in professional English to engage in deep technical discussions with international colleagues

  • And most important: You are eager to learn new things

Apply

👉 Please mention in your application that you found the job on pyremote, this helps us get more companies to post here!

This job is sourced from Stack Overflow Jobs. When clicking on the button to apply above, you will leave pyremote and go to the job application page. pyremote accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.