Nethaji Manikandan N

Led a cross-functional team of 10+ engineers (8 developers & 2 QA) across 40+ cloud-native microservices and served as Scrum Master driving architecture decisions, code quality, and agile ceremonies. Acted as primary architect for the OutcomesOne product backend tools and monorail platform using Java, Spring Boot, AWS, Azure, Docker, Kubernetes, Kafka, and PostgreSQL. Implemented distributed system patterns including Saga, event-driven architecture, Outbox, Database-per-Service, Circuit Breaker/Resilience4j, and high-throughput asynchronous services with concurrency APIs. Delivered a Spring Batch pipeline improving data-processing throughput by 35%, established architecture standards across 8 engineering teams, and reduced production defects by 30%. Built RAG applications using LLMs with LangChain4j, Spring AI, vector databases (PostgreSQL/pgvector), embeddings, and prompt engineering to enable context-aware responses from domain data.

Owned backend architecture for the OutcomesOne product line and led system design decisions across 40+ cloud-native microservices. Served as primary architect for system design, resilience, and integration patterns on the Monorail platform, using Java/Spring Boot with AWS/Azure, Docker/Kubernetes, Kafka, and PostgreSQL. Designed and implemented distributed system patterns including Saga, Event-Driven architecture, Outbox pattern, Database-per-service, Resilience4j circuit breakers, and high-throughput asynchronous services using concurrency APIs. Improved processing throughput by 35% via a Spring Batch pipeline and reduced production defects by 30% through architecture standards and engineering alignment. Built RAG applications using LLMs, LangChain4j, Spring AI, vector databases (PostgreSQL/pgvector), embeddings, and prompt engineering for context-aware responses from enterprise/domain data.

Owned architecture and backend tool development for the OutcomeOne product line, building distributed systems using Java/Spring Boot/Spring Batch and cloud services across AWS/Azure. Led a cross-functional team of 10+ engineers (developers and QA) supporting 40+ microservices, applying architecture standards and agile delivery practices. Designed event-driven and resilient backend patterns (Saga, outbox, CQRS, Circuit Breakers, database-per-service, and asynchronous concurrency APIs). Implemented a Spring Batch pipeline improving data processing throughput by 35%, reduced production defects by 30%, and delivered RAG applications using LLMs with LangChain4j/Spring AI, embeddings and vector databases (PostgreSQL/pgvector), enabling context-aware responses from enterprise data.