Sr. Software Engineer

Job Role - AI-Native Full Stack Developer About the role We are changing how we build data governance and data quality tools. Instead of long requirements cycles, we work in very short loops: talk through a need, build it, show it, and improve it the next day. You will work directly with a manager to build new features and functionality, with an AI coding agent such as Claude Code /Github CoPilot or Codex as the primary coder. You stay in control: you direct the agent, judge what it produces, and own what ships. What you will build You will extend our self-service data quality product, which takes a business user from connecting a dataset to a data governance dashboard. What you will do Build and ship new features across the full stack, using an AI coding agent as your main way of writing code. Integrate the application with Collibra and Soda through their APIs. Meet with a manager every day and show working, incremental progress. Turn short conversations into working software, without waiting for formal requirements. Review, test and correct what the agent produces, so that it is reliable and secure. Deploy your own work and keep it running. Keep the agent productive with good instructions, context and project structure. What you need Mid-level full stack development experience, across front end, back end and databases. Real, day-to-day experience building with AI coding agents such as Claude Code or Codex or Github CoPilot A full understanding of how to code and deploy using AI, from first prompt to running in production. Enough engineering judgment to spot when the agent is wrong, and to fix it. A track record of working quickly and showing progress in small increments. Hands-on experience integrating applications with third-party platforms through REST APIs, ideally Collibra and Soda. Strong Python with FastAPI or similar, and React. Clear communication, and comfort working directly with a technical lead with little process around you. Nice to have Experience with data quality, data governance or data-heavy applications. Working knowledge of SQL databases such as Snowflake, PostgreSQL, SQL Server and MySQL. Experience with Docker, Microsoft Entra ID sign-in (MSAL) and automated testing (pytest, Vitest). Experience building agentic or LLM-based features. Our stack Python and FastAPI on the back end, with SQLAlchemy and pandas. React and Vite on the front end, with Microsoft Entra ID sign-in. Soda and Collibra integrations, Snowflake and other SQL sources, and Docker. How we will measure success Visible progress every day. New features turned around in days, not months. Working software in front of users, not long requirements documents. How to stand out Show us something you built with an AI coding agent, and tell us how you directed it, what it got wrong, and how you deployed it.