A Jupyter developer designs and maintains Jupyter projects, including Jupyter Notebook, JupyterLab, and JupyterHub. They write code, often in Python, to develop applications that allow users to create and share documents containing live code, equations, visualizations, and narrative text. They troubleshoot issues, enhance functionality, and ensure seamless integration with other data science tools. They may also develop interactive widgets for the Jupyter ecosystem. They work closely with data scientists to understand their needs and tailor solutions accordingly. They're also responsible for taking care of software testing, debugging, and updating documentation.