Backend Microservices & API Development
I engineer high-concurrency backend services, clean RESTful APIs, and scalable database schemas using NestJS, Node.js, .NET Core C#, and PostgreSQL — built for 99.99% uptime and sub-50ms p95 response times.
Engineered for Scalability, Security & Concurrency
From database query optimization to message queues and containerized deployments, every microservice is engineered for enterprise maintainability.
NestJS Modular Architecture
Enterprise TypeScript backends built on NestJS with strict dependency injection, decorator-driven routing, Swagger documentation, and clean domain-driven design (DDD) separating controllers, services, and repositories.
.NET Core & C# Microservices
High-throughput, asynchronous C# backends built with ASP.NET Core. Designed for compute-intensive workloads, enterprise integrations, and mission-critical transaction processing.
High-Performance Database Engineering
Relational and NoSQL schemas optimized for write-heavy workloads. PostgreSQL, MSSQL, and MongoDB with advanced B-tree indexing, query plan profiling (EXPLAIN ANALYZE), connection pooling (PgBouncer), and ACID compliance.
Distributed Redis Caching & Queues
Low-latency Redis caching layers that eliminate database pressure, combined with Redis Bull and RabbitMQ queues for asynchronous task orchestration, retry backoffs, and rate limiting.
Zero-Trust Authentication & RBAC
Stateless JWT tokens, refresh token rotation, OAuth2 single sign-on (SSO), and granular role-based access control (RBAC) matrices defending every endpoint with automated guard middleware.
API Gateway & Event Streaming
Reverse proxy routing, request validation via Zod and class-validator, API versioning (v1/v2), distributed tracing with OpenTelemetry, and bi-directional WebSocket event channels.
What You Receive
How We Engineer Your Backend
Strict domain design, load profiling, and automated test suites that prevent regressions.
Domain Modeling & Schema Design
We map your entity relationships, define data contracts, plan indexing strategies, and establish OpenAPI specifications.
Core Service Implementation
We write modular NestJS or .NET Core services with strict input validation, transaction management, and error filters.
Caching & Load Hardening
We benchmark queries under synthetic load using k6, configure Redis caching layers, and profile connection pool throughput.
Deployment & Observability
We package the service in Docker, configure health check endpoints and structured logging, and hand over the repository.
Enterprise RESTful API Gateway & Auth Service
Engineered a unified API Gateway orchestrating client traffic across multiple underlying microservices. Includes token bucket rate limiting, Redis caching layers, JWT validation, and automated Swagger schema synchronization.
Transparent Backend Pricing Models
Clear deliverables and predictable timelines. No surprise fees.
API Microservice Sprint
A focused backend microservice or RESTful API gateway with database schema and auth.
- Core REST API with NestJS or Node.js
- Database schema (PostgreSQL or MongoDB)
- JWT Authentication & RBAC roles
- Swagger / Postman API documentation
- Docker containerization
Distributed Cluster
Multi-service architecture with background queues, caching, and third-party integrations.
- Multiple decoupled microservices
- Redis Bull / RabbitMQ job queues
- High-throughput database tuning & indexing
- Automated integration test suite
- AWS ECS / Docker deployment setup
- 30 days post-launch support & tuning
Dedicated Backend Retainer
Continuous API expansion, database optimization, and ongoing backend engineering.
- 20–25 hours dedicated engineering per week
- Direct Slack/Discord communication
- New endpoint design and schema migrations
- Performance profiling and query optimization
- No long-term contracts
Frequently Asked Questions
Insights on architectural choices, database performance, and security.
Why choose NestJS over standard Express.js for enterprise backends?
While Express is minimalist, it provides no architectural conventions. As teams expand, Express projects frequently become tangled spaghetti code. NestJS provides an out-of-the-box architecture based on TypeScript, modules, dependency injection, and decorators, ensuring your codebase remains maintainable, testable, and standardized for years to come.
How do you ensure high throughput and prevent database bottlenecks under heavy traffic?
I prevent bottlenecks through a three-layer strategy: (1) PgBouncer connection pooling to avoid exhausting database handles, (2) Redis multi-layer caching with sub-5ms response times for read-heavy operations, and (3) asynchronous Redis Bull queues that offload slow operations (email sending, image processing, third-party webhooks) from the main request-response cycle.
Can you migrate legacy monoliths to a modern microservices architecture?
Yes. I use the Strangler Fig pattern to decouple monolithic backends incrementally into self-contained microservices without requiring risky, multi-month system downtimes.
Do you provide interactive API documentation for frontend teams?
Yes. Every backend is shipped with fully documented interactive Swagger / OpenAPI endpoints, TypeScript types, and exportable Postman collections so frontend developers can integrate immediately.
Related Architecture & Case Studies
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