Java Software Engineer - Cloud-Native Microservices Expert

Rohith Anjaneya Sai Swarna

Java Software Engineer

Denton, TX +1-940-***-**** ******.********@*****.*** Summary

Software Developer with 4 years of experience designing, developing, and deploying high-performance, cloud-native applications using Java 17/21, Spring Boot 3.x, and microservices architecture. Adept at building secure, scalable RESTful and gRPC APIs, optimizing distributed systems, and deploying on AWS using modern CI/CD pipelines. Strong expertise in relational and NoSQL databases, system observability, and Agile delivery. Passionate about clean code, design patterns, and driving measurable impact through well-architected software solutions. Technical Skills

• Programming & Core: Java (17/21), Streams, Collections, Multithreading, Functional Programming, JavaScript, TypeScript, SQL

• Frameworks & Libraries: Spring Boot, Spring MVC, Spring WebFlux, Spring Data JPA, Spring Security, Hibernate, JPA, React.js, Thymeleaf

• Cloud, DevOps & Infrastructure: AWS (EC2, S3, Lambda, RDS, DynamoDB), Docker, Kubernetes, Jenkins, GitLab CI/CD, Terraform, Prometheus, Grafana, ELK Stack, SonarQube

• APIs, Integration & Architecture: RESTful APIs, gRPC, GraphQL, OAuth2, JWT, Swagger/OpenAPI, Kafka, RabbitMQ, Microservices, Reactive Programming, Non-blocking I/O, Design Patterns, SOLID Principles, TDD, Agile (Scrum)

• Databases, Testing & Tools: MySQL, PostgreSQL, MongoDB, DynamoDB, Redis, Elasticsearch, JUnit 5, Mockito, Integration Testing, Selenium, Postman, Maven, Gradle, Git, IntelliJ, JIRA, Confluence Professional Experience

Software Engineer Wells Fargo, USA October 2024 – Present

• Modernized backend systems by upgrading from legacy Java 8 to Java 17 with Spring Boot 3.x, improving runtime performance by 30%, enhancing security compliance, and reducing maintenance overhead through modular architecture.

• Developed scalable customer-facing web features using Java, Spring Boot, and Thymeleaf, streamlining workflows and reducing product return rates by 20% while improving CSAT scores through enhanced UI responsiveness.

• Built high-throughput reactive APIs using Spring WebFlux, processing 1M+ daily requests with sub-100ms latency by leveraging concurrency frameworks (ExecutorService, CompletableFuture) and non-blocking I/O.

• Designed and implemented microservices and inter-service communication via REST and gRPC, reducing average API response times by 30% and enabling seamless third-party integrations across 20+ marketplaces.

• Automated deployment pipelines using Jenkins and GitLab CI/CD, implementing canary and blue-green deployments to accelerate release cycles by 40% and improve production stability.

• Instrumented distributed systems using Prometheus, Grafana, and ELK Stack, proactively identifying performance bottlenecks and driving 95% positive user feedback on post-release surveys.

• Partnered with cross-functional teams in an Agile environment to align technical solutions with business goals, ensuring high-quality deliverables within sprint timelines.

Java Developer Nexova, India September 2020 – July 2023

• Designed and implemented scalable server-side components using Java, Spring Boot, and Spring MVC, improving system reliability by 15% and supporting rapid feature growth.

• Developed RESTful APIs with Spring REST and Swagger for internal and external integrations, reducing service latency by 25% and enhancing interoperability across multiple platforms.

• Collaborated with cross-functional Agile teams to deliver production-grade software, consistently achieving sprint goals and maintaining 98% on-time delivery.

• Applied SOLID principles, reusable design patterns, and modular code practices, improving maintainability and reducing code review turnaround time by 30%.

• Optimized MongoDB and DynamoDB queries through indexing and query restructuring, enhancing database throughput and improving query performance by 30%.

• Conducted comprehensive unit and integration testing with JUnit 5 and Mockito, achieving 95% test coverage and reducing post- release defects by 20%.

• Monitored and tuned application performance using Log4j, ELK Stack, and profiling tools to identify bottlenecks, resulting in a 35% improvement in API response times under peak load. Education

• Master of Science in Computer Science University of North Texas, Denton, TX

• Bachelor of Technology in Computer Science VIT-AP University, Amaravati, India

Contact this candidate