Hire a Node.js Developer for Scalable Backend Systems 

I build REST APIs for mobile and web apps, GraphQL servers for flexible data fetching, real-time systems using WebSockets, microservices with message queues (RabbitMQ, SQS), and serverless functions on AWS Lambda. Each architecture choice is driven by the project's specific scale and latency requirements.

Every API I ship includes: input validation (Zod), structured error handling with proper HTTP status codes, rate limiting, request logging (Winston/Pino), health check endpoints, graceful shutdown handling, database connection pooling, and comprehensive API documentation (Swagger/OpenAPI). I also write integration tests for critical paths.

Yes. I design microservices with clear domain boundaries, async communication via message queues (RabbitMQ, AWS SQS), API gateways for routing, shared authentication (JWT), distributed logging, and containerized deployment with Docker. I also know when microservices are overkill — for many startups, a well-structured monolith is the right starting point.

Yes. I have built real-time systems using WebSockets for live dashboards and message queues for async workflows. I handle connection management, message queuing, reconnection logic, and horizontal scaling with Redis pub/sub. I have built systems processing thousands of concurrent connections with sub-100ms latency.

I work with PostgreSQL (with Prisma ORM) for relational data, MongoDB for document-oriented storage, Redis for caching and session management, and InfluxDB/TimescaleDB for time-series data. I choose the database based on query patterns, data relationships, and scale requirements — not personal preference.