Backend Development
Professional Backend Development services tailored to your needs
Our Backend Development Services
Our Backend Development
ASP.NET Development Services
Atharva builds ASP.NET Core APIs and web applications following layered and hexagonal architecture patterns, with Entity Framework Core query optimization, Redis caching, and JWT/OAuth2 authentication built in from the start. Services are designed to run cross-platform on Azure App Service, AWS, or containers, with Azure Key Vault for secrets management and CI/CD pipelines targeting production deployments. Covers new builds, admin portals, B2B backends, and migration of legacy ASP.NET MVC or Web Forms applications to modern .NET.
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Atharva develops non-blocking, event-driven Node.js backends using Express and NestJS, suited for high-concurrency workloads — real-time dashboards, chat and notification systems, streaming services, and integration-heavy platforms. Scaling paths include clustering, containerization, and Kubernetes orchestration on Azure or AWS, with OpenAPI/Swagger documentation and automated testing built into the delivery process. Also handles restructuring and performance optimization of existing Node.js applications.
Learn moreJava Development Services
Atharva builds enterprise Java backends using Spring Boot for transactional systems, billing engines, order management platforms, and secure integrations with core enterprise applications. The stack prioritizes JVM-level reliability — connection pooling, efficient thread management, caching — with Spring Security and OWASP-aligned practices applied across authentication, authorization, and encrypted communications. Includes modernization and cloud-native migration of legacy Java codebases to LTS releases with clean architectural patterns.
Learn moreGraphQL API Development Services
Atharva designs and implements GraphQL APIs that expose a single, schema-driven interface over multiple backends — REST APIs, relational databases, microservices, and third-party services — eliminating over-fetching and reducing client round trips. Resolver optimization, query depth and complexity limits, batching strategies, and authentication controls are applied at build time, not retrofitted. Also handles integration of GraphQL layers into existing architectures and ongoing schema evolution without breaking active clients.
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