As a backend engineer with strong expertise in Java, Spring Boot, and microservice-based architectures, I build production-grade backend systems that power mission-critical applications — combining high throughput, low latency, and enterprise reliability.
My goal is to create systems that scale horizontally, evolve gracefully, and integrate seamlessly with cloud-native ecosystems.
🧩 Architecture & Design Approach
I start every backend engagement with a detailed domain-driven design (DDD) and API contract analysis, mapping out the aggregate roots, entities, repositories, and bounded contexts.I design microservices architectures that communicate via REST, GraphQL, or event-driven messaging systems such as Apache Kafka, RabbitMQ, and AWS SNS/SQS. Each service is independently deployable, versioned, and built for observability, resilience, and fault isolation.
I use Spring Boot, Spring Cloud, Spring Data JPA, and Spring Security to build modular, maintainable services with minimal boilerplate and clean separation of concerns. For inter-service discovery and configuration, I integrate Eureka, Consul, or Spring Cloud Config, along with Feign Clients for declarative REST communication.
⚙️ Performance & Scalability
Every backend is designed for concurrency, asynchronous I/O, and reactive flows where necessary. I implement Spring WebFlux, Project Reactor, or CompletableFuture-based patterns to maximize non-blocking throughput.For data persistence, I support both SQL (PostgreSQL, MySQL, MariaDB, Oracle) and NoSQL systems (MongoDB, Redis, Cassandra). Caching layers are integrated using Spring Cache, Ehcache, or Redis, ensuring sub-millisecond data retrieval.
Services are load-tested and optimized using JMeter and Gatling, with thread pool tuning and connection pooling strategies aligned to production traffic patterns.
🔒 Security, Validation & Compliance
I implement JWT, OAuth2, and Keycloak/OpenID Connect for authentication and authorization.Input validation and data sanitization are enforced with Hibernate Validator and custom AOP interceptors. Sensitive data (PII, credentials) is handled via AES encryption or HashiCorp Vault integration, following OWASP, CIS, and GDPR compliance guidelines.
🧠 Code Quality & Testing
To maintain production stability, I use JUnit 5, Mockito, Testcontainers, and Spring Boot Test for both unit and integration testing.Code quality is enforced through SonarQube, Jacoco, and SpotBugs, ensuring consistent maintainability across repositories.
🚀 Deployment & CI/CD
Backends are containerized with Docker, built with Maven or Gradle, and deployed via Jenkins, GitHub Actions, or GitLab CI.I integrate Helm and Kubernetes manifests for rolling updates, blue-green deployments, and auto-scaling in production.Monitoring and tracing are provided through Prometheus, Grafana, and OpenTelemetry (OTEL), with distributed trace visualization using Jaeger or Zipkin.
💡 Use Cases Delivered
Event-driven payment gateway, Multi-tenant API platform, ...