FullStack Developer
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.