# Nava Sai Snigdha K. > Java Engineer (Backend-Focused) | Spring Boot | Microservices | Kafka | AWS | Angular Location: Greater Boston, United States Profile: https://flows.cv/nava Java Backend Engineer with 5+ years of experience designing and building scalable, high-performance microservices using Java and Spring Boot. Proven expertise in developing RESTful APIs, Kafka-based event-driven systems, and optimizing PostgreSQL and Oracle databases for low-latency, high-throughput applications. Experienced in delivering production-grade systems in fintech and enterprise environments, including payment processing and financial data platforms. Strong background in cloud-native development on AWS, CI/CD automation with Jenkins and Docker, and implementing secure, resilient services using Spring Security, JWT, and RBAC. Hands-on engineer who enjoys solving performance, scalability, and reliability challenges in distributed systems. Open to full-time and contract backend engineering roles. ## Work Experience ### Software Engineer @ S&P Global Jan 2023 – Present | Boston, Massachusetts, United States • Spearheaded the full development lifecycle of a high-performance enterprise platform, enhancing modularity, scalability, and resilience critical for high-volume financial operations. • Engineered enterprise-grade backend microservices utilizing Java EE and Spring Boot, enforcing modular architecture, reusable components, and transactional integrity. • Designed and optimized high-throughput REST APIs and asynchronous data streams via Apache Kafka on AWS EC2, resulting in a 35% reduction in inter-service latency and improved system reliability. • Optimized PostgreSQL queries and refined database schema, achieving a 30% improvement in API response times, enabling seamless horizontal scaling for cloud-native deployments. • Fortified application security posture by implementing robust authentication and authorization mechanisms including Spring Security, JWT, and RBAC across distributed microservices. • Implemented advanced multithreading and concurrency primitives in Java to effectively manage asynchronous operations and peak loads, boosting overall system throughput by 20%. • Integrated AI-powered services into backend microservices to automate data summarization and enhance analyst productivity. • Established and maintained robust CI/CD pipelines using Jenkins and Docker, facilitating zero-downtime deployments and accelerating product release cycles by 60%. • Enhanced Angular-based user interfaces and analytical dashboards, providing critical, real-time insights into operational system data for stakeholders. • Deployed centralized observability solutions utilizing ELK Stack, Splunk, and OpenTelemetry, significantly improving platform stability and reducing Mean Time to Resolution (MTTR). ### Software Development Engineer @ Zoho Jan 2021 – Jan 2022 | Chennai • Developed high-performance Spring Boot applications interacting with Oracle Database via Hibernate, achieving a 25% improvement in data retrieval efficiency through strategic caching and indexing. • Built and deployed resilient RESTful APIs, facilitating secure and reliable JSON data exchange necessary for seamless integration with internal and third-party consumer services. • Implemented asynchronous messaging patterns using Apache Kafka, resulting in a 40% reduction in inter-service latency and increased throughput for critical business workflows. • Maintained legacy SOAP web services using JAX-WS while actively contributing to the migration roadmap toward modern, scalable RESTful APIs. • Managed application deployment and operational oversight on AWS, leveraging Amazon S3 for scalable storage and Amazon CloudWatch for proactive monitoring and automated alerting. • Actively participated in Agile/Scrum ceremonies, fostering predictable sprint delivery, strengthening cross-functional team collaboration, and ensuring iterative quality software development. • Enforced enterprise security standards by implementing comprehensive Role-Based Access Control (RBAC) and authentication layers using Spring Security. ### Software Engineer @ Razorpay Jan 2018 – Jan 2020 • Developed robust backend services leveraging Spring MVC, Hibernate, and MySQL, optimizing server-side processing efficiency by 20% to support high-volume payment transaction volumes. • Optimized MongoDB query performance and data structure modeling, significantly reducing document retrieval latency under heavy read/write load. • Improved front-end user workflows using HTML5, Bootstrap, and AJAX techniques, resulting in highly interactive and intuitive dashboards for internal and client platforms. • Enhanced code quality and maintainability by rigorously implementing logging (Log4j), input validation, and comprehensive unit testing using the Spring Boot Testing Starter. ## Education ### Master's degree in Computer Science Rivier University ## Contact & Social - LinkedIn: https://linkedin.com/in/navakaranam --- Source: https://flows.cv/nava JSON Resume: https://flows.cv/nava/resume.json Last updated: 2026-03-31