REST and GraphQL API development
Versioned, documented interfaces with validation at the boundary and error responses another team can rely on.
Node.js
Node.js API & backend development
Node.js development for the server side of a product—HTTP APIs, background workers and the integrations between systems—written so that behaviour under failure is as defined as behaviour when everything works.
What this coversNode.js
Services and APIs that stay predictable under load and under change.
Background jobs and queues
Work moved out of the request cycle, with retries, dead-letter handling and visibility when something stops.
Service and third-party integration
Connecting to the payment, messaging, identity and data services a product depends on, with credentials kept server-side.
Operational readiness
Logging, health checks and error reporting added while building, not after the first incident.
How it is judgedBefore you commission it
When it fits
- A front end is ready and there is nothing dependable behind it yet.
- One slow external call is holding up every request.
- The same data is being synchronised between systems by hand.
- The service works, but nobody can tell what it is doing in production.
How it is built
- TypeScript at the boundary, so the shape of every request and response is declared rather than assumed.
- Business logic kept out of route handlers, so it can be tested without starting a server.
- Secrets and provider credentials server-side only, never shipped to a client.
- Failure paths designed deliberately: timeouts, retries and what happens when a dependency is down.
Not this
- Server administration as a standalone service
- Uncontracted on-call cover
- Rewriting a working service for its own sake
Common questionsNode.js
Can you build the API before the front end exists?
Yes, and the contract is agreed with whoever will consume it first. An API designed without its consumer in the room tends to need a second version quickly.
Do you work with an existing Node codebase?
Yes. That starts with reading the code and its tests, so the first change follows the conventions already in place rather than importing new ones.
How do you handle load?
By finding out where the time actually goes before changing anything. Most latency turns out to be one query or one external call, not the runtime.
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