Nikhil Choragudi

About Nikhil Choragudi

I’m a Senior Java Full Stack Engineer with 8+ years of experience building, scaling, and fixing enterprise-grade systems that cannot afford to fail.I specialize in:Designing high-performance microservices using Java 17, Spring Boot, and cloud-native architectureMigrating legacy monoliths to modern microservices with zero data loss and minimal downtimeBuilding secure, production-hardened APIs with OAuth 2.0, Spring Security, and role-based access control.Delivering cloud-scale systems on AWS (EC2, Lambda, S3, RDS, DynamoDB, SQS, Kafka)I’ve worked in high-pressure enterprise environments (Verizon, Nationwide, Assurant) where:Systems serve millions of usersDowntime is not acceptableBad design decisions show up in production fastI don’t just “write code.”I:Reduce production incidentsImprove system performance and scalabilityDesign architectures that survive real-world trafficLeave codebases cleaner than I found themTech I work with daily:Java 8/11/17 | Spring Boot | Microservices | AWS | Kafka | Docker | React | Angular | SQL & NoSQL | CI/CD | JenkinsIf you’re looking for someone who can own backend systems end-to-end, collaborate with frontend teams, and deliver reliable software in cloud-first environments — we should talk.

Experience

1. Senior Software Engineer

   Verizon

   Aug 2022 — Present

   Lead design and development of enterprise-scale microservices using Java 17 and Spring Boot, supporting high-traffic, mission-critical systems-Architect and secure REST and GraphQL APIs using OAuth 2.0 and Spring Security, protecting sensitive enterprise data-Drive cloud-native development on AWS (EC2, Lambda, API Gateway, DynamoDB, SQS, RDS), delivering fault-tolerant and scalable solutions-Build event-driven architectures using Apache Kafka, enabling real-time, high-throughput communication across services-Migrate legacy monolithic applications to microservices, reducing deployment risk and improving system maintainability-Implement CI/CD pipelines with Jenkins, Docker, and Kubernetes to automate build, test, and deployment workflows-Optimize system performance using caching (ElastiCache), concurrency, and JVM tuning-Lead code reviews, enforce clean architecture, and mentor engineers on production-ready design patterns