About The Role :

You will build features end to end : the API service on the backend, the Next.js application on the frontend, and the design decisions that connect them.

This is a hands-on role with real ownership.

You will help decide how things are built, not just implement someone else's plan.

What You Will Do :

- Build and maintain Python services (FastAPI) that are fast on reads and correct on writes.

- Design the data model and write the SQL behind it.

- Build product screens in Next.js and React that hold up with real data : dense tables, dashboards, forms with complex state.

- Decide what renders on the server and what renders on the client.

- Add logging, metrics, and tracing so problems can be diagnosed in production.

- Write a short design doc before building anything that crosses a service boundary.

- Review other people's code carefully.

What We Are Looking For :

Python backend :

- 5+ years writing production Python, including a modern async framework such as FastAPI.

- Comfortable with async/await, background tasks, and structured error handling.

- You write tests as part of building, not after.

SQL :

- Solid relational modelling and comfort writing non-trivial queries by hand.

- You can read a query plan and explain why something is slow.

- You have run schema migrations on a live system.

Frontend :

- 3+ years of production React, with a real understanding of why a component re-renders.

- Next.js App Router in production : server components, route handlers, caching.

- TypeScript used to model the domain, not just to satisfy the compiler.

- A clear view of what belongs in server state, client state, and the URL.

Architecture and system design :

- You can turn an ambiguous requirement into a design with stated assumptions and trade-offs.

- Comfortable with the fundamentals : idempotency, retries, timeouts, caching and invalidation, consistency.

- You have made a wrong call, caught it, and fixed it.

- We will ask about this.

Nice to have :

- Experience with an analytical database such as Snowflake or BigQuery.

- Event-driven or queue-based systems in production.

- Authorization design : row-level access, tenant isolation.