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Senior Java Engineer with 3+ years in Microservices Architecture & Backend Development.
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Java Developer with 3.9 years of experience specializing in Microservices architecture and Design Patterns. Expert in building scalable backend services using Java 8/17, Spring Boot and Spring Data JPA. Proven track record in developing secure RESTful APIs with JWT/OAuth2 and implementing event-driven systems using Kafka.
Lakireddy Bali Reddy College Of Engineering
Bachelor of Technology · Computer Science Engineering
August 1, 2019 – May 1, 2022
Cognizant Technology Solutions India Pvt Ltd
Associate - Software Engineer
September 1, 2022 – Present
Hyderābād, Telangana, India
Albertsons - Retail & Supply Chain Platform
September 1, 2022 – Present
Designed event-driven microservices using Apache Kafka to process real-time inventory and supply chain data. Developed scalable and secure backend services using Spring Boot, JWT authentication, and REST APIs. Achieved 90%+ unit test coverage using JUnit, reducing defects and improving code quality. Automated CI/CD deployment pipelines using Jenkins and Maven to improve build reliability and release efficiency. Optimized user experience by building reusable React components and integrating them with backend APIs to create dynamic, responsive web interfaces. Supported deployment and monitoring of microservices on AWS using EC2, RDS, S3.
Verizon - Telecommunications Platform
September 1, 2022 – Present
Developed and maintained enterprise backend microservices using Java, Spring Boot, and Spring Data JPA. Migrated 5+ production microservices from Java 8 to 17, improving application performance and maintainability. Implemented feature flags to enable controlled production releases and reduce deployment risk. Built and secured RESTful APIs for internal and external system integrations. Integrated New Relic APM and Spring Boot Actuator for application monitoring, health checks, and alerting. Configured centralized logging using Logback and integrated logs with monitoring tools. Worked closely with DevOps, QA, and Frontend teams in an Agile environment to resolve production issues.
Gen AI Specialization - GitHub Copilot JAVA
GitHub Copilot
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked on two significant professional projects (Verizon, Albertsons) involving enterprise-level platforms, indicating experience in structured environments. The breadth of technologies used (Java, Spring, Kafka, AWS, React.js) and the focus on scalable, secure, and maintainable systems suggest an adaptable and growth-oriented mindset. The AWS Cloud Practitioner certification and Gen AI specialization show initiative in continuous learning, which aligns well with a culture of innovation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate experience working in Agile environments and collaborating with cross-functional teams (DevOps, QA, Frontend), suggesting good operational fit. The emphasis on unit test coverage (90%+) and controlled releases points to a quality-conscious and responsible approach to development.