Expert backend development in Node.js, Python, and Java. We build scalable, secure, and maintainable server-side applications for startups and enterprises.
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A solid backend is the foundation of every great product. We build backends that are fast, secure, and designed to evolve with your business. Our engineers have deep expertise across Node.js, Python, and Java ecosystems β we choose the right tool for each project based on performance requirements, team familiarity, and long-term maintainability.
We work across the major backend ecosystems: Node.js with Express/NestJS/Fastify, Python with FastAPI/Django, and Java with Spring Boot. Database layer uses PostgreSQL, MongoDB, or DynamoDB depending on data patterns. All projects include Docker, CI/CD, and infrastructure as code.
Startups needing their first production backend, companies adding new services to existing systems, or teams that need backend expertise to complement their frontend capabilities. We deliver backends that your team can maintain and extend long after our engagement ends.
Define API contracts, data models, authentication requirements, and integration points.
Set up project structure, database schemas, authentication layer, and CI/CD pipeline.
Implement business logic, API endpoints, background jobs, and third-party integrations.
Write comprehensive tests, conduct security review, and performance benchmark critical paths.
Deploy to production, document APIs, write runbooks, and establish monitoring dashboards.
Let's build a backend that's fast, secure, and designed to grow with your business.
We specialize in Node.js, Python, Java, Go, and .NET for backend development, with expertise in frameworks like Spring Boot, Django, FastAPI, NestJS, and Express.js for building scalable server-side applications.
We follow API-first design principles using OpenAPI specifications, implement versioning strategies, design consistent error responses, enforce rate limiting, and provide comprehensive API documentation with interactive testing consoles.
We work with PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB, and Cassandra, selecting the optimal database based on your data model, query patterns, consistency requirements, and scalability needs.
Backend development services are available at hourly rates from $10 to $50, with the final cost depending on the technology stack, system complexity, integration requirements, and whether you need ongoing maintenance.
Yes, every backend project includes automated CI/CD pipeline setup using GitHub Actions, GitLab CI, or Jenkins, with automated testing, linting, Docker image builds, and staged deployments to development, staging, and production environments.