Mihai Dobre
Backend Systems & APIs UK

Node.js Development

Professional Node.js development services. Backend systems, REST and GraphQL APIs, realtime applications, database architecture, and third-party integrations built for performance and scalability.

Runtime Status
Uptime
99.9%
Response
38ms
Services

What I do

Full-service Node.js development covering REST APIs, GraphQL, realtime systems, microservices architecture, third-party integrations, and database design. Building robust backend solutions that scale.

REST API Development

Building robust REST APIs with Express, Fastify, or NestJS. Clean architecture, comprehensive documentation, authentication, and rate limiting built in.

GraphQL APIs

Flexible GraphQL APIs with Apollo Server or Yoga. Efficient data fetching, type safety, and schema-first development for complex data requirements.

Realtime Systems

WebSocket-based realtime applications using Socket.io or ws. Live updates, chat systems, collaborative tools, and event-driven architectures.

Microservices Architecture

Designing and implementing microservices with clear boundaries, message queues, and service communication. Scalable systems that grow with your needs.

Third-Party Integrations

Connecting your systems with external APIs and services. Payment gateways, CRM platforms, shipping providers, and business tool integrations.

Database Architecture

Designing efficient database schemas for PostgreSQL, MySQL, or MongoDB. Query optimisation, indexing strategies, and data migration scripts.

Business Impact

Problems I solve

Helping businesses build scalable backend infrastructure and reliable APIs. Moving from limited, slow systems to robust architectures that support growth and enable automation.

The Problem

Backend systems that cannot handle growing traffic or data volume

The Solution

Architecting scalable Node.js applications with proper caching, database optimisation, and horizontal scaling strategies. Load testing and performance tuning throughout development.

Backend infrastructure that scales efficiently with business growth

The Problem

Slow API response times affecting user experience and system performance

The Solution

Implementing caching layers with Redis, database query optimisation, and efficient data fetching patterns. Async operations and connection pooling for maximum throughput.

Fast, responsive APIs with sub-second response times

The Problem

Disparate systems requiring manual data entry and reconciliation

The Solution

Building API integrations that automate data flow between systems. Webhooks for realtime updates and error handling for reliability.

Automated workflows eliminating manual data entry

The Problem

Need for realtime features like live updates, notifications, or collaboration

The Solution

Implementing WebSocket-based realtime communication. Event-driven architecture with Socket.io or similar libraries for bidirectional communication.

Engaging realtime features that keep users informed
Tech Stack

Technologies I work with

Modern Node.js ecosystem and backend tooling. Using current best practices and proven tools for efficient, maintainable server-side development.

Node.js Core

Node.js 20+ExpressFastifyNestJSKoaHapi

API & GraphQL

RESTGraphQLApollo ServerGraphQL YogatRPCOpenAPI/Swagger

Realtime & Messaging

Socket.iowsRedis Pub/SubApache KafkaRabbitMQBull

Database

PostgreSQLMySQLMongoDBRedisPrismaDrizzle ORM

Authentication

JWTOAuth 2.0Passport.jsNextAuth.jsClerkAuth0

DevOps & Cloud

AWSDockerKubernetesGitHub ActionsPM2Nginx
Process

How it works

A structured approach to backend development ensuring your requirements are met. Regular testing and communication throughout the project.

01

Discovery

Understanding your backend requirements, data models, API endpoints, and integration needs. Discussing scalability, security, and performance expectations.

02

Architecture

Designing system architecture, database schemas, and API specifications. Planning authentication, caching strategies, and deployment infrastructure.

03

Development

Building your Node.js application with regular testing and updates. Implementing APIs, integrations, and database operations with comprehensive error handling.

04

Deployment & Support

Deploying to production, configuring monitoring and logging, and providing documentation. Ongoing support for maintenance and feature additions.

FAQ

Frequently asked questions

Common questions about Node.js development. If you have a specific question not covered here, feel free to get in touch.

Node.js excels at I/O-heavy applications like APIs, realtime systems, and microservices. It is particularly suitable for applications requiring high concurrency, such as chat applications, streaming services, or API gateways. For CPU-intensive tasks, other runtimes may be more appropriate, though Node.js can still handle them with proper architecture.

Express is minimal and flexible, suitable for simple APIs and quick prototypes. Fastify focuses on performance with built-in validation and serialization. NestJS provides a structured, Angular-like architecture with TypeScript support, dependency injection, and modules - ideal for large-scale applications. I recommend based on your project complexity and team familiarity.

Yes. I build realtime applications using Socket.io or ws library. Common use cases include live notifications, chat systems, collaborative editing, dashboards with live data, and multiplayer features. Socket.io provides automatic reconnection and fallback mechanisms for production reliability.

Security is implemented at multiple layers: authentication with JWT or OAuth, input validation, rate limiting, CORS configuration, and SQL injection prevention. Sensitive data is encrypted, and APIs follow OWASP guidelines. Security testing is performed throughout development.

Yes. I regularly work with existing projects for improvements, feature additions, or modernisation. This includes refactoring legacy code, adding new endpoints, improving performance, migrating to newer Node.js versions, and updating dependencies. I can audit your current codebase and provide recommendations.

PostgreSQL is my default choice for relational data - it is robust, well-supported, and offers advanced features. MongoDB works well for document-based or flexible schemas. Redis is excellent for caching and session management. The choice depends on your data patterns, query requirements, and scalability needs.

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Ready to discuss your project?

Tell me about your Node.js requirements. I will review your needs and get back to you with initial thoughts and next steps.