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Senior Java Developer with 4+ years in Spring Boot & Microservices
Results-driven Java Full Stack Developer with 3.5 years of experience building scalable enterprise applications using Java, Spring Boot, Microservices, and ReactJS. Proven track record in designing RESTful APIs, implementing state management solutions, and collaborating cross-functionally to deliver high-quality software. Strong analytical skills with hands-on experience in Agile/Scrum environments, requirements gathering, and translating business needs into technical solutions. Proficient in leveraging GitHub Copilot for accelerated development and experienced in Unix/Linux-based development and deployment environments.
Peri College of Arts and Science
BSc · Computer Science
August 1, 2019 – June 30, 2022
Chanakya Matric Higher Secondary School, Gingee
Class XII (HSC)
June 1, 2017 – May 31, 2019
Delphic Global
Java Full Stack Developer
June 1, 2024 – Present
India
Agira Technologies
Java Full Stack Developer
February 1, 2024 – May 31, 2024
India
ITM Dev Technologies
Java Developer
January 1, 2022 – January 31, 2024
India
Cultural Fit Analysis
The candidate has worked in multiple companies (ITM Dev Technologies, Agira Technologies, Delphic Global) on diverse projects (Billing Repair Card, Tender Management System, Insurance Policy Management System) within a relatively short timeframe, indicating adaptability to different team structures and business domains. The consistent use of Java, Spring Boot, and full-stack development aligns well with a Senior Java Developer role. The breadth of skills across backend, frontend, and DevOps (Linux, shell scripting) suggests a versatile team player. However, the short tenure at Agira Technologies (4 months) might warrant further inquiry during an interview.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in Agile/Scrum environments, collaboration with QA, and managing deployments on Linux. The descriptions indicate an ability to translate business needs into technical solutions and work within structured development processes. The use of GitHub Copilot suggests an openness to leveraging AI tools for productivity.