Python Fast API

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.