Backend Development

Overview

Backend systems are the operational foundation of your product. A poorly designed backend creates technical debt that compounds with every feature addition. We focus on getting the architecture right early — clean separation of concerns, well-defined service boundaries, and explicit contracts between components.

NestJS is our primary Node.js framework. Its modular architecture with decorators, guards, pipes, and interceptors provides the structure needed for maintainable backend code. For enterprise applications with complex transaction requirements, Java Spring Boot offers mature support for distributed transactions, batch processing, and JPA-based data access. .NET Core serves projects in Microsoft-ecosystem environments or where C#'s type system and performance characteristics are advantageous.

API design follows REST conventions with OpenAPI 3.0 specifications generated from code annotations. For clients that need flexible data fetching (mobile apps with varying screen sizes, dashboards with customizable widgets), we implement GraphQL with DataLoader for batched resolution and proper N+1 query prevention.

Database architecture is selected based on consistency requirements and access patterns. We implement connection pooling, read replicas for query-heavy workloads, and structured migration workflows using tools like Prisma, TypeORM, or Flyway. Redis handles caching, session storage, rate limiting, and pub/sub for real-time features.

Every backend service ships with structured logging (correlation IDs across request chains), health check endpoints, and Prometheus-compatible metrics. For microservices, we implement circuit breakers, retry policies with exponential backoff, and distributed tracing using OpenTelemetry to diagnose latency issues across service boundaries.