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Java Backend developer with 5+ years in scalable enterprise applications, Microservices, and Cloud.
5 years of professional experience as a Java Backend Developer in Banking, Retail, and Insurance domains. Expertise in Core Java (Java 8/11/17), OOP, Collections, Multithreading, Exception Handling. Strong in Spring Boot, Spring MVC, Angular, Spring Data JPA, Hibernate, Reactjs, REST APIs, Microservices architecture. Hands-on with Kafka, RabbitMQ, Redis, MongoDB, MySQL, PostgreSQL, Oracle DB. Skilled in Cloud and DevOps: AWS (EC2, S3, Lambda, RDS), Docker, Kubernetes, Jenk- ins, CI/CD pipelines, Git/GitHub. Implemented system design patterns, ensured high availability, scalability, and Performance optimization. Experienced in Agile/Scrum methodologies with active participation in sprint planning, code reviews, and pair programming. Proficient in unit testing (JUnit, Mockito), integration testing, API testing (Postman, Swagger).
Quess Crop
Java Backend Developer
March 1, 2021 – Present
Bengaluru, Karnataka, India
Digital Core Banking Platform
June 9, 2026 – Present
Developed a digital core banking system to manage customer onboarding, loan processing, and payments. The system transitioned from a monolith to a microservices-based architecture deployed on AWS. Integrated Kafka for event streaming, Redis for caching, and Elasticsearch for fast data retrieval. Enabled secure APIs using OAuth 2.0 and JWT. Achieved high availability, 24/7 uptime, and reduced transaction latency by 30%. Designed and deployed microservices ensuring scalability and high availability. Integrated Kafka and RabbitMQ for inter-service communication and event-driven workflows. Implemented Redis caching and optimized SQL queries to reduce response time by 25%. Automated CI/CD pipeline with Jenkins and Docker, reducing release cycle from weeks to days. Secured APIs with OAuth 2.0 and JWT authentication. Conducted unit and integration testing with JUnit/Mockito to ensure 95% defect-free releases. Collaborated in Agile sprints, actively participating in planning, code reviews, and retrospectives.
Retail Order Management System
June 9, 2026 – Present
Built a retail order management platform enabling order placement, inventory tracking, and reporting. Designed domain-driven microservices, integrated with third-party payment gate- ways, and implemented real-time inventory sync via Kafka. Used Apache POI for Excel-based reporting. Improved system scalability and reduced downtime, enabling smoother seasonal sales handling. Developed REST APIs with Swagger documentation for seamless integration. Implemented real-time inventory management using Kafka and RabbitMQ. Designed domain-driven architecture improving maintainability and extensibility. Automated order processing and Excel-based reporting via Apache POI. Optimized queries in MySQL/PostgreSQL for high transaction volumes. Wrote unit tests with JUnit/Mockito, improving defect detection by 20%. Coordinated with QA and DevOps teams for CI/CD deployments on Kubernetes.
Insurance Claims Processing System
June 9, 2026 – Present
Developed a claims management system handling policy claims, fraud detection, and settle- ment. Designed microservices with batch jobs for large data processing, integrated Kafka for fraud alerts, and used Elastic-driven architecture for fast claim searches. Deployed on Kuber- netes with Prometheus and Grafana for monitoring. Reduced claim processing time by 40% and improved fraud detection accuracy. Developed REST APIs for claims lifecycle management. Implemented batch jobs in Spring Batch for policy and claims processing. Integrated Kafka/RabbitMQ for fraud detection and real-time alerts. Used Cassandra and MongoDB for high-volume claims storage. Designed elastic-driven search for faster claim lookups. Automated CI/CD pipelines with Jenkins and Docker, reducing deployment failures. Monitored system with Prometheus/Grafana ensuring 24/7 uptime. Collaborated with Agile teams ensuring timely sprint deliverables.
Cultural Fit Analysis
The candidate's experience across banking, retail, and insurance domains, coupled with a diverse technical skill set (Java, Spring Boot, Microservices, Kafka, AWS, Kubernetes, various databases), indicates adaptability and a broad understanding of different business contexts. The consistent use of Agile methodologies across projects suggests a collaborative and iterative work style, aligning well with modern development cultures. The focus on system design, scalability, and performance optimization reflects a proactive and quality-driven approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile sprints, code reviews, and collaboration with QA/DevOps teams. The project descriptions highlight a proactive approach to system design, performance optimization, and ensuring high availability, indicating a strong problem-solving and team-oriented mindset. The emphasis on CI/CD automation and monitoring suggests a commitment to efficient and reliable software delivery.