</> build passing
✓ On-time delivery
+ Agile delivery
2-wk sprints
NodeJS Development Services

NodeJS Backends Built for High Concurrency & Scale

We build Node.js REST APIs, GraphQL servers, real-time applications, and event-driven microservices. TypeScript, Fastify, NestJS — production-ready from day one.

Node.js 22 LTS
TypeScript
REST & GraphQL
100% IP Yours
Free first consultationNo commitment needed

NodeJS development

Express, Fastify, NestJS

100%

code & IP yours from day one

typical MVP timeline
est.

6–10 wks

48h

Avg. Response Time

no surprises, ever

What are NodeJS development services?

NodeJS development services cover the architecture, build, and production deployment of server-side applications using the Node.js runtime. This includes REST and GraphQL APIs, real-time WebSocket servers, event-driven microservices, and serverless functions. A Node.js development partner handles framework selection, database design, authentication, security hardening, performance testing, and observability — so your team ships a reliable backend without building expertise in every layer from scratch.

Our Services

NodeJS Development Services We Deliver

From single REST APIs to distributed event-driven microservice platforms.

01

REST API Development

High-performance REST APIs with Express.js or Fastify, TypeScript, OpenAPI documentation, and full test coverage.

02

GraphQL API Development

Flexible GraphQL APIs with Apollo Server or GraphQL Yoga — schema-first design, resolvers, subscriptions, and caching.

03

Real-Time Application Development

WebSocket and Socket.IO applications for live chat, notifications, dashboards, and collaborative features.

04

Node.js Microservices Architecture

Event-driven microservices with message brokers, service discovery, and container-ready deployment on Kubernetes.

05

NestJS Enterprise Backend

Opinionated, modular NestJS applications with dependency injection, guards, interceptors, and full TypeScript.

06

Node.js Migration & Modernisation

Migrate legacy PHP, Ruby on Rails, or Python backends to Node.js with TypeScript — zero downtime, incremental approach.

Tech Stack

NodeJS Stack From API to Production

Runtime & Core
Node.js 22 LTS
TypeScript
ES Modules
Worker Threads
Frameworks
Express.js
Fastify
NestJS
Hono
Databases & ORM
PostgreSQL + Prisma
MongoDB + Mongoose
Redis
ClickHouse
Messaging
RabbitMQ
Apache Kafka
Bull / BullMQ
AWS SQS
Testing
Jest / Vitest
Supertest
Testcontainers
Newman
DevOps & Cloud
Docker
Kubernetes
AWS ECS
Railway / Render
Why Node.js

The Event Loop That Makes High-Concurrency Backends Affordable

Non-blocking I/O handles thousands of concurrent connections on one instance
Same language on frontend and backend reduces team context-switching
npm ecosystem covers virtually every integration requirement
TypeScript support is first-class across every major Node.js framework
Fastify benchmarks show higher RPS than most alternative frameworks at the same concurrency
Prisma makes type-safe database access as ergonomic as a scripting language
NestJS brings Angular-like structure for large teams working on complex backends
Serverless deployment on AWS Lambda, Vercel Functions, or Cloudflare Workers is native
Our Process

How We Build NodeJS Backends

A structured delivery process from API design to production monitoring.

01

Requirements and API Design

We map your business requirements to API contracts, database schemas, and service boundaries before writing any code.

02

Architecture and Framework Selection

We choose Express, Fastify, or NestJS based on team size, query complexity, and long-term maintenance requirements.

03

Core API Build in Sprints

Endpoints are built iteratively with TypeScript, validated schemas, and integration tests at every milestone.

04

Database Layer and Migrations

Schema design, Prisma migrations, indexing strategy, and query performance are validated before any feature ships.

05

Security and Performance Hardening

Rate limiting, input validation, JWT/OAuth2 auth, OWASP top-10 review, and load testing before production.

06

Deployment, Monitoring, and Handover

Docker deployment, health checks, structured logging, error tracking, and full documentation handover to your team.

Indicative Pricing

NodeJS Project Investment Ranges

Fixed-price scopes for common Node.js engagement types.

EngagementScopeInvestment (USD)
REST API / Webhook ServiceAuth, CRUD endpoints, OpenAPI docs$8,000 – $22,000
Full Node.js BackendAuth, DB layer, admin APIs, integration tests$30,000 – $80,000
Node.js Microservices PlatformMultiple services, message broker, IaC$55,000 – $140,000+

Ranges are indicative. Final pricing depends on feature scope, integrations, and infrastructure complexity. Get a fixed-price quote after a scoping call.

Why CodeShiper

Why Teams Choose Us for NodeJS Development

Six reasons Node.js backends succeed with our team.

01

Node.js-First Backend Team

Every engineer specialises in Node.js and TypeScript — not generalists who also do Node.js on rotation.

02

TypeScript From Day One

All backends are TypeScript by default. No migration debt, no runtime type errors, better IDE support throughout.

03

Real Databases in Tests

Integration tests run against real databases using Testcontainers — not mocks that hide migration bugs.

04

Security-First Development

OWASP top-10 review, rate limiting, input validation, and least-privilege database roles on every project.

05

OpenAPI Documentation Delivered

Every API ships with auto-generated, accurate OpenAPI documentation your frontend team can consume immediately.

06

Production-Ready Observability

Structured logging, distributed tracing, error tracking, and health endpoints are configured before go-live.

100%
IP ownership from day one
2 wks
First working build
48 h
Average response time
98%
Client satisfaction rate
FAQ

Common Questions About NodeJS Development

What is Node.js and why do companies use it for backend development?
Node.js is a JavaScript runtime built on Chrome's V8 engine that executes JavaScript server-side. Companies choose it because the non-blocking, event-driven architecture handles high-concurrency workloads efficiently, and because using JavaScript on both frontend and backend reduces context-switching for full-stack teams. Its npm ecosystem — the largest package registry in the world — means most integration problems have an existing, battle-tested solution.
When is Node.js a better backend choice than Python, Go, or Java?
Node.js excels at I/O-bound workloads: REST APIs, GraphQL servers, real-time systems, and microservices that spend most of their time waiting on databases and external APIs. It is the best choice when your frontend team already works in JavaScript/TypeScript and you want a unified language across the stack. Python is better for CPU-bound machine learning pipelines. Go and Java are better for CPU-heavy computation or when you need predictable garbage-collection pauses in latency-sensitive systems.
Should we use Express.js, Fastify, or NestJS for our Node.js API?
Express is the most battle-tested option with the widest middleware ecosystem — the safe choice for teams that need maximum flexibility. Fastify offers significantly higher throughput than Express and has a built-in plugin architecture and schema-based validation, making it the better choice for high-performance APIs. NestJS is the right choice when you want an opinionated Angular-like structure with dependency injection, decorators, and a clear module system — it reduces architecture decisions and is excellent for large teams building complex enterprise APIs.
How do you handle real-time features in Node.js?
For real-time features — chat, live notifications, collaborative editing, live dashboards — we use Socket.IO or native WebSockets depending on the complexity. For simpler server-push scenarios, Server-Sent Events are a lightweight alternative. We use Redis pub/sub or a message broker like RabbitMQ to scale real-time connections across multiple Node.js instances.
How does Node.js scale to handle high traffic?
Node.js scales horizontally by running multiple instances behind a load balancer. Vertically, the cluster module or worker threads spread CPU work across cores. For stateless APIs, horizontal scaling with Kubernetes or AWS ECS is the most cost-effective approach. For stateful real-time systems, we implement sticky sessions or move state to Redis. The event loop model means a single Node.js instance handles thousands of concurrent connections efficiently without thread overhead.
Do you use TypeScript for Node.js projects?
Yes — all our Node.js projects are TypeScript from day one. TypeScript catches a large class of runtime errors at compile time, makes refactoring safer, and significantly improves IDE autocomplete. The ecosystem support for TypeScript in Node.js is excellent: Express, Fastify, NestJS, Prisma, and every major ORM and framework have first-class TypeScript definitions.
What database do you recommend with Node.js?
It depends on your data model. For relational data with complex queries and strict consistency, PostgreSQL with Prisma ORM is our default. For document-oriented data or rapidly evolving schemas, MongoDB with Mongoose or the native driver works well. For caching and session storage, Redis is the standard. For event-sourced or time-series data, we evaluate TimescaleDB or ClickHouse. We choose based on your query patterns, not personal preference.
How do you test Node.js APIs?
We use Jest or Vitest for unit tests, Supertest for HTTP integration tests against real Express/Fastify instances, and Newman (Postman CLI) or custom test suites for contract testing. For end-to-end tests that cover the full stack, we use Playwright. Database tests run against a real test database, not mocks — we have been burned by mocks that passed while real DB migrations failed.
How do you deploy and monitor Node.js applications?
We deploy Node.js to Docker containers on Kubernetes, AWS ECS, or Railway depending on the scale and operational complexity required. For logging, we use Pino (the fastest Node.js logger) with structured JSON output shipped to Datadog or CloudWatch. For error tracking, Sentry. For APM, New Relic or Datadog APM. Health checks, graceful shutdown, and process management with PM2 or Kubernetes liveness probes are set up before any production deployment.
What does Node.js project pricing look like?
A simple REST API or webhook service typically ranges from $8,000 to $22,000. A full Node.js backend with authentication, a database layer, admin APIs, and integration tests runs $30,000 to $80,000. A microservices architecture with multiple Node.js services, a message broker, and infrastructure-as-code is typically $55,000 to $140,000 depending on the number of services and integrations. We provide a fixed-price quote after a scoping call.

Let's Talk

Ready to Build Your NodeJS Backend?

Tell us what you are building and we will scope the engagement and send a fixed-price estimate within 48 hours.

Get a Free NodeJS EstimateSchedule a Call
NDA available before any technical discussionResponse within 48 hoursNo pressure. No hard sell.