Senior Java Engineer with 5+ years in Microservices & Cloud-native Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend Developer with 5+ years of experience building scalable, cloud-native applications using Java, Spring Boot and PostgreSQL. Strong expertise in Microservices, RESTful APIs and performance optimization with proven ability to reduce latency, automate CI/CD and enforce secure coding practices in Agile environments.
Haldia Institute of Technology
B.Tech · Electronics & Communication Engineering
January 1, 2016 – January 1, 2020
Ernst & Young (EY)
Senior Technical Lead
October 1, 2025 – Present
India
Cognizant
Software Engineer
February 1, 2024 – September 1, 2025
India
Cognizant
Software Engineer
March 1, 2021 – January 1, 2024
India
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple projects at Cognizant and their current role at EY, working on diverse client projects (Edward Jones, Ford Motor Company, Toyota Motors), indicates adaptability and exposure to different organizational cultures and problem domains. Their focus on security, compliance, and best practices aligns with enterprise-level expectations. The breadth of skills, from core Java to cloud platforms and DevOps tools, suggests a well-rounded individual capable of integrating into various technical teams. The AWS Cloud Practitioner certification also shows initiative in expanding their cloud knowledge.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, leading code reviews, mentoring junior developers, and collaborating with stakeholders. Their proactive approach to identifying and resolving performance bottlenecks, driving coding standards, and optimizing CI/CD pipelines indicates a strong sense of ownership and commitment to operational excellence. The use of AI coding assistants also highlights adaptability and efficiency.