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Senior Java Developer with 5+ years in Microservices & Cloud Platforms
Versatile Java Developer with 5.5+ years of experience in designing and delivering scalable, high-performance enterprise applications. Strong expertise in Java (8–17), Spring Boot, Microservices Architecture, and RESTful API development, with hands-on experience in event-driven systems using Apache Kafka. Proficient in Google Cloud Platform (GCP), including Firestore, Pub/Sub, and Cloud Storage, enabling cloud-native solutions. Skilled in Docker, Kubernetes, and Jenkins CI/CD pipelines for containerized deployments. Experienced in PostgreSQL, MySQL, and Redis caching for optimized data management and performance. Adept in JUnit and Mockito for unit testing, with a solid foundation in Agile methodologies, ensuring reliable, scalable, and efficient software delivery.
LNCTE Bhopal
BE · CSE
August 1, 2016 – June 30, 2020
TCS
SOFTWARE ENGINEER
December 1, 2024 – Present
India
CAPGEMINI
SOFTWARE ENGINEER
December 1, 2020 – October 1, 2024
India
OLIO (Network Device Management System)
June 15, 2026 – Present
OLIO is an enterprise-grade network management system designed to monitor and manage multi-vendor network devices for Tata Communications. The application enables real-time device monitoring, alarm generation for device downtime, and automated ticket creation in ServiceNow (SNOW). It also supports dynamic configuration of network interfaces and tunnels. Developed scalable RESTful APIs using Spring Boot within a microservices architecture, ensuring high availability and performance. Implemented Apache Kafka for asynchronous communication and event-driven processing across services. Optimized performance using Redis caching and ensured efficient data handling with PostgreSQL. Built and deployed containerized applications using Docker and Maven, following Agile practices. Collaborated with QA for testing, validation, and successful delivery of features. Tech Stack: - Java, Spring Boot, Microservices, REST APIs, Apache Kafka, PostgreSQL, Redis, Docker, Maven, GitLab
Labor System Platform (LSP)
June 15, 2026 – Present
Labor System Platform (LSP) is a cloud-based middleware application designed to manage employee data, including personal information, attendance, payroll status, and workforce records for Disney. The system integrates upstream and downstream services to ensure seamless data processing and business operations. Developed RESTful APIs using Spring Boot for employee data management and business workflows. Leveraged Google Cloud Platform (GCP) services including Firestore, Pub/Sub, and Cloud Storage for scalable data storage and messaging. Implemented logic to read data from upstream systems via GCP storage buckets and publish processed data to downstream systems using Pub/Sub. Automated deployments using Jenkins CI/CD pipelines. Ensured code quality with JUnit and Mockito and collaborated with QA teams for end-to-end testing in an Agile environment. Tech Stack: Java, Spring Boot, REST APIs, GCP (Firestore, Pub/Sub, Cloud Storage), Jenkins, JUnit, Mockito, GitHub
Cultural Fit Analysis
The candidate has experience with two distinct enterprise-grade projects (OLIO for Tata Communications and LSP for Disney), showcasing adaptability to different business domains and project requirements. The breadth of technologies used (Java, Spring Boot, Kafka, GCP, Docker, Kubernetes, PostgreSQL, Redis) indicates a willingness to learn and apply diverse tools, which is positive for cultural fit in dynamic environments. The roles at TCS and Capgemini suggest experience in large organizational structures.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with QA and DevOps teams, indicating good teamwork and operational awareness. Experience in Agile environments suggests adaptability and iterative development practices. The detailed project descriptions demonstrate a structured approach to problem-solving and system design.