• Developing Workbench features and bug fixes for launching and managing data science IDE sessions in a cluster • Gathering and incorporating stakeholder feedback about features • Driving an exceptional customer experience through creativity, product-mindedness, and technical innovation • Designing and developing features using multiple languages • Designing features to be observable, scalable, and maintainable • Influencing what we build and how we build it • Defining and iterating on team processes • Creating automated unit and end-to-end tests • Supporting enterprise Workbench customers and troubleshooting issues • Reviewing feature specifications and pull requests • Understanding documentation and improving accuracy, clarity and coverage • Fostering and maintaining an inclusive, supportive team environment