Node.js & API Development — cover image
Service · Engineering Capability

Node.js & API Development.

Secure, observable, and reliable Node.js services. REST and GraphQL APIs, payment gateway integrations, background jobs, and business logic engineered to keep working under real load.

The Shift

From what's slowing teams down, to what unlocks growth.

01The Reality

Slow, brittle backends kill product velocity.

It's easy to ship a Node.js API. It's hard to ship one that stays fast under peak load, degrades gracefully when a third-party API is down, is safe to deploy on a Friday afternoon, and hands off cleanly to the next team.

Most backends are built in the first category and quietly move to the second only after an incident forces the issue. I design for the second from day one.

02The Engineering

Predictable latency, everywhere.

I design Node.js services with predictable latency: typed contracts, request tracing, circuit breakers on third-party calls, and a well-defined caching story per endpoint. Every API ships with an OpenAPI spec, contract tests, and observability hooks — so when an alert fires at 2 AM, whoever is on-call knows exactly what changed.

  • OpenAPI or GraphQL schema-first design, with generated typed clients.
  • Structured logs, distributed tracing, and per-endpoint SLO dashboards.
  • Circuit breakers, retries with backoff, and idempotency on all mutations.
  • Background job queues with dead-letter handling and replay tooling.

A great frontend is only as fast as the API behind it. I design Node.js services with predictable latency: typed contracts, request tracing, circuit breakers on third-party calls, and a well-defined caching story per endpoint.

Every API ships with an OpenAPI spec, contract tests, and observability hooks — so the team you hand it off to knows exactly what changed the first time an alert fires.

What's included in this build

Every node.js & api development engagement is a premium, end-to-end delivery tailored to your specific business rules.

REST / GraphQL API

Schema-first design with generated TypeScript clients, versioning policy, and contract tests that fail CI before a breaking change ships.

Auth & RBAC

OAuth / OIDC / JWT auth, role-based access controls enforced at the middleware layer, and audit logs on every privileged action.

Payment Integrations

Stripe, Razorpay, PayPal, and custom gateway integrations with webhook verification, idempotency keys, and a replay console for support.

Background Jobs

Queue-based workers (BullMQ, Cloudflare Queues) with retries, dead-letter handling, per-job observability, and back-pressure on producers.

Rate Limiting & Security

Per-IP and per-user rate limits, CORS lockdown, request-schema validation, secret rotation playbooks, and OWASP Top-10 audit before launch.

Observability Stack

Structured logs (pino), distributed tracing (OpenTelemetry), and dashboards with SLOs per endpoint so you can find regressions before customers do.

At a glance

  • REST and GraphQL APIs with generated client SDKs
  • Stripe, Razorpay, and custom payment gateway integrations
  • Background job queues with retries and dead-letter handling
  • Full request tracing and structured logs from day one

Powered by the modern web stack

Node.jsTypeScriptFastify / HonoPostgreSQLRedisOpenTelemetryBullMQ

Frequently Asked Questions

Common questions about node.js & api development engagements.

REST or GraphQL — which should I pick?
REST for internal service-to-service and public partner APIs, GraphQL when the primary consumer is a single sophisticated frontend with variable data needs. I'll help you pick during architecture — the choice locks in a lot of downstream decisions.
How do you handle payment security?
Webhook signature verification on every event, idempotency keys on all POSTs, PCI-scope minimisation (Stripe Elements / Razorpay Checkout to keep card data off your servers), and audit logs on every state transition.
How do you plan for scale?
Load-testing on a production-like environment before launch, connection pooling on databases, read replicas where the query pattern allows, and clear runbooks for the three most common scaling failures. We plan for 10× current traffic — not 100×, because that's usually premature.
Can you work with our existing legacy database?
Yes — and often that's cheaper than a migration. I've written APIs against MySQL, PostgreSQL, MongoDB, and even DB2. If the schema is stable, the API layer can hide most of its ugliness from downstream consumers.

Something you need shipped
this quarter?

Send a two-line brief with the outcome you're after — a build, an audit, a rescue, a second opinion. I read it personally and reply within one business day. No agency middle-layer. No sales funnel.