Lead Java Engineer with 4+ years in Java, Spring Boot & Microservices.
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Assessing your cultural and operational fit
Results-driven Java Backend Developer with 5 years of experience designing and delivering scalable, high-performance enterprise applications using Java 8/11/21, Spring Boot, Microservices, JPA/Hibernate, and RESTful APIs. Proven track record of building distributed systems on Microsoft Azure and improving release velocity through CI/CD pipelines (Jenkins, Azure DevOps). Skilled in writing clean, well-tested code (JUnit, Mockito, Test Containers) with 85%+ coverage, performance testing with Gatling, and leveraging modern AI-assisted tools (Claude, Augment, Cursor, Windsurf) to boost productivity in Agile/Scrum teams.
Galgotias College of Engineering & Technology
B.Tech · Information Technology
August 1, 2017 – June 30, 2021
Dayawati Modi Public School
Intermediate (XII)
June 1, 2016 – May 31, 2017
Dayawati Modi Public School
High School (X)
June 1, 2014 – May 31, 2015
Persistent Systems
Lead Software Engineer
March 1, 2025 – Present
India
Accenture
Custom Software Engineering Analyst
August 1, 2021 – February 1, 2025
India
Azure Fundamentals (AZ-900)
Microsoft Certified
June 1, 2026 – Present
Azure Data Fundamentals (DP-900)
Microsoft Certified
June 1, 2026 – Present
Certified Spring Boot Developer
Accenture
June 1, 2026 – Present
Advanced Java Training
Accenture
June 1, 2026 – Present
Object-Oriented Programming with Java
Accenture
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across two major companies (Accenture, Persistent Systems) and multiple client engagements (Generali, US Steel, Intuit) demonstrates adaptability and exposure to diverse work environments. Their proactive approach to adopting AI tools and leading technical upgrades suggests a growth mindset and a willingness to embrace innovation, which aligns well with a dynamic, forward-thinking culture. The emphasis on code quality, collaboration, and client value creation indicates a strong team player with a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through their experience in client interaction, leading technical discussions, conducting code reviews, and partnering with business analysts and QA in Agile/Scrum ceremonies. Their ability to drive adoption of new tools (AI assistants) and lead major upgrades indicates initiative and leadership potential. The focus on reducing production bugs, improving release stability, and achieving high code coverage points to a detail-oriented and quality-focused operational fit.