Fullstack Engineer

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.