// Build — Backend
Node.js backend development for APIs, real-time, and services
Typed, tested Node.js backends — REST and GraphQL APIs, real-time systems, job queues, and microservices built with layered architecture, observability, and deployment documentation.
// Capabilities
Node.js backend scope
REST API Development
Express or Fastify APIs with typed request/response contracts, input validation, error handling, auth, rate limiting, pagination, and OpenAPI documentation.
GraphQL APIs
Schema-first GraphQL with resolvers, DataLoader for N+1 prevention, persisted queries, subscriptions, and federation for microservice graphs.
Real-time Systems
WebSocket servers, Socket.io, and server-sent events for live dashboards, collaboration tools, notifications, and trading interfaces.
Microservices & Event-driven
Service decomposition, message queues (RabbitMQ, SQS, Kafka), event sourcing, saga patterns, and async workflow coordination.
Database Integration
PostgreSQL, MySQL, MongoDB, Redis — query optimisation, connection pooling, migration management with Prisma or Drizzle, and caching strategy.
Background Jobs & Queues
BullMQ, Agenda, or SQS-based job queues for scheduled tasks, email pipelines, report generation, and heavy processing offloaded from the request cycle.
// Production concerns
What separates a Node.js prototype from a production backend
Node.js has a low barrier to entry — a working API is easy. A production API that handles 10,000 concurrent users, degrades gracefully when a downstream service is down, recovers from deployment without dropped requests, and gives your team enough observability to debug incidents at 2am is a different engineering challenge.
We address this through layered architecture, circuit breakers, graceful shutdown, typed contracts, comprehensive error handling, structured logging, and deployment runbooks — before launch rather than as firefighting after.
// Production checklist
- TypeScript strict mode — typed end-to-end
- Input validation with Zod or class-validator at every boundary
- Centralised error handling with typed error classes
- Correlation IDs on every request for distributed tracing
- Database connection pooling and query timeout enforcement
- Graceful shutdown — drain in-flight requests before SIGTERM
- Rate limiting per route with IP and user-level throttling
- Dependency version pinning and CVE scanning in CI
// FAQ
Node.js development questions
When is Node.js the right backend choice?+
Node.js excels at I/O-heavy workloads: REST APIs, real-time systems, BFF (Backend for Frontend) layers, and services that aggregate multiple external APIs. For CPU-heavy computation (ML inference, video processing, complex financial calculations), Python or compiled languages are often better.
How do you structure a large Node.js backend?+
We use a layered architecture: router/controller → service layer → data layer. Dependency injection for testability, typed interfaces between layers, domain-specific modules, and a clear separation between business logic and infrastructure code. The structure is designed for a 5-person team to work in parallel without stepping on each other.
How do you handle authentication and authorisation?+
JWT with refresh-token rotation for stateless auth, or session-based auth for server-rendered contexts. RBAC implemented as middleware with role definitions stored in the database. OAuth2/OIDC via Passport or custom flows for social login and enterprise SSO.
How do you ensure reliability and error handling in Node.js APIs?+
Centralised error handling middleware with typed error classes, request-level correlation IDs for tracing, circuit breakers for downstream dependencies, graceful shutdown handling, and process supervisors (PM2 or container health checks) for recovery. All errors flow to Sentry or equivalent with enough context to debug without reproducing.
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