Node.js developer for hire.

Node.js earns its place when you need concurrency and persistent connections — live dashboards, streaming data, chat, notifications, or a service that holds thousands of open sockets. That is most of what I use it for. I have run Node processes that ingest blockchain data continuously and push updates to connected clients within seconds, which means dealing with reconnection, backpressure and memory behaviour rather than just writing route handlers.

What’s included

• Real-time services over WebSockets and Socket.io
• REST and JSON APIs with Express or Fastify
• Long-running ingestion and worker processes
• Event-driven architecture and message handling
• Third-party API integration with retry and rate-limit handling
• Process management, clustering and graceful restarts
• Deployment, monitoring and log design for services that must not stop

Long-running processes are a different discipline

A request-response API either works or returns an error. A process that runs for weeks fails differently: memory creeps, sockets go stale, an upstream provider changes its response shape at 2am. Building these properly means health checks, structured logging, defensive parsing of anything external, and automatic recovery rather than a process that dies quietly.

WebSockets without the usual problems

Real-time features are easy to demo and hard to run. Connections drop on mobile networks, clients reconnect in bursts after an outage, and broadcasting naively to every socket will not scale. I plan for reconnection with state resync, room-based targeting rather than global broadcast, and heartbeats that detect dead connections.

Node with the rest of the stack

Node does not have to run everything. I frequently pair a Node service handling the real-time and ingestion layer with PHP or Python doing the application and reporting work, each doing what it is good at. I can build and deploy both sides.