Help & Supportcareers@gravityer.com
Senior Java Engineer with 6+ years in Java, React & Microservices
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Full Stack Engineer with over 6 years of hands-on experience in designing and developing scalable applications using Java and React. Strong foundation in data structures and algorithms, with a track record of delivering high-quality, maintainable software solutions in agile, fast-paced environments.
Government Engineering College, Raipur
Bachelor of Engineering · Computer Science
N/A – June 30, 2019
JP Morgan Chase & Co
SDE II
December 1, 2024 – Present
Bengaluru, Karnataka, India
Societe Generale Global Solution Center
Specialist Software Engineer
August 1, 2022 – December 1, 2024
Bengaluru, Karnataka, India
HCL Technologies
Senior Software Engineer
December 1, 2021 – August 1, 2022
Pune, Maharashtra, India
Tata Consultancy Service
System Enigneer
August 1, 2019 – December 1, 2021
Gandhinagar, Gujarat, India
GlobalCase – Asset & Wealth Management
December 1, 2024 – June 30, 2026
Designed and implemented an AI-driven Ticket Prediction feature that analyzes case summaries to automatically suggest relevant ticket types, improving case resolution efficiency. Developed the Auto Purge Batch from scratch the first implementation in the project using the Spring Batch framework - optimizing data retention and system performance. Contributed to the Case Tracker application for monitoring case progress and built notification batches to automate user alerts and daily updates. Worked on multiple other application modules involving Kafka-based messaging, case creation via email/manual input, and workflows.
Deutsche Bank – iMake IBOR
December 1, 2021 – August 1, 2022
Microservice-based application that fetches daily U.S. market rates and maintains stock market index data. Developed and maintained microservices using Java 11, Spring Boot, and SQL Server. Built and integrated RESTful APIs for seamless communication between services. Implemented scalable and secure backend components following SOLID design principles for better maintainability and flexibility. Contributed to front-end enhancements using React 17 to improve data visualization and user interaction.
Cultural Fit Analysis
The candidate has worked across multiple reputable companies (JP Morgan Chase & Co, Societe Generale, HCL Technologies, Tata Consultancy Service) and on diverse projects, including asset & wealth management, market data systems, and government platforms. This breadth of experience suggests adaptability and exposure to different organizational cultures and project types, indicating a good potential cultural fit. The focus on delivering high-quality, maintainable software solutions aligns with typical enterprise expectations.
Soft Skills & Operational Fit
The candidate's resume highlights experience in agile environments and taking full ownership of modules, suggesting good operational fit and accountability. The description of implementing an AI-driven feature and developing a batch process from scratch indicates initiative and problem-solving skills. However, without specific psychometric or English test results, a deeper assessment of soft skills like teamwork, stress handling, and communication clarity is limited.