Nikhil Guntumadugu

Engineered and deployed scalable, high-throughput payment microservices using Go and Java (Spring Boot), supporting over $300K in daily transactions with 99.9% uptime on Kubernetes and AWS ECS. Designed high-performance RESTful and gRPC APIs, optimizing inter-service communication and reducing serialization overhead by 25% for critical payment processing workflows. Collaborated with Data and Risk teams to build a real-time fraud detection pipeline using Kafka Streams, Spark Structured Streaming, and DynamoDB, decreasing false positives by 10%. Architected and maintained a secure, multi-region CI/CD pipeline with GitLab, ArgoCD, and Terraform, enabling automated security scans and compliance checks and reducing deployment time by 60%. Improved system observability and incident response by integrating Prometheus, Grafana, and OpenTelemetry, leading to a 20% reduction in MTTR across distributed services. Boosted development velocity by 15% by leveraging AI coding tools to automate boilerp

Designed asynchronous communication patterns with Apache Kafka, RabbitMQ, and AWS SNS/SQS to decouple services; implemented Redis-based caching, cutting overall system latency by 20%. Built and optimized scalable microservices using Node.js, Golang, and Docker, achieving faster API responses through caching and performance tuning. Applied Domain-Driven Design (DDD) with NestJS and Spring Boot to model bounded contexts and manage complex API domains, shortening feature cycles by 15%. Built a comprehensive testing framework with Jest, Supertest, and Postman Collections, integrated into a Jenkins-based CI/CD pipeline, increasing test coverage from 70% to 85% and reducing production bugs by 25%. Collaborated with Product and UX teams to translate complex requirements into deliverables, including 2 major front-end features with React, improving customer satisfaction. Practiced Agile methodologies with emphasis on TDD and SDLC best practices to boost team velocity.