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Senior Java Engineer with 4+ years in Banking & Payments Domain.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Java Backend Developer with 4+ years of experience in Java 8, Spring Boot, Microservices, REST API development, Spring Data JPA, SQL, and Banking & Payments domain. Proven experience in designing scalable enterprise applications, API integrations, production support, CI/CD pipelines, and performance optimization. Strong expertise in ISO 20022 payment processing, JWT authentication, Agile development, and incident management.
RMD Engineering College
Bachelor of Engineering · Electronics & Communication Engineering
N/A – June 30, 2021
Accenture
Software Engineer
March 1, 2025 – Present
India
Virtusa (CITI – Transactor)
Backend Developer
July 1, 2023 – February 1, 2025
India
Virtusa
Associate Engineer
September 1, 2021 – June 1, 2023
India
Automatic Water Irrigation System
June 7, 2026 – Present
Built an IoT-based automated irrigation solution using soil moisture sensors.
Fees Management System
June 7, 2026 – Present
Developed a web-based fee tracking and payment management application.
Oracle Certified Associate (OCA) – Java SE 8 Programmer
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies (Accenture, Virtusa) and roles (Software Engineer, Backend Developer, Associate Engineer) shows adaptability. Their involvement in projects supporting applications across 15+ countries and contributing to legacy application modernization indicates a global mindset and a willingness to tackle complex challenges. The academic projects, while not directly related to the target role, show a breadth of interest in different technical domains (web development, IoT).
Soft Skills & Operational Fit
The candidate demonstrates experience in Agile environments, participating in ceremonies, code reviews, and production support, indicating good operational fit. Their experience in resolving critical production incidents within SLA timelines suggests strong problem-solving and reliability under pressure. The description of automating operational tasks and job scheduling points to a proactive approach to efficiency.