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Senior Java Developer with 3+ years in Cloud & Microservices
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Assessing your cultural and operational fit
Results-driven Java Backend Developer with 3+ years of experience building scalable, cloud-native applications using Java, Spring Boot, Quarkus, and AWS. Proven track record of leading monolith-to-microservices and microservices-to-serverless migrations, delivering 35-40% improvements in deployment speed and system reliability. Recognized by enterprise clients in telecom and insurance for shipping critical initiatives ahead of schedule. Daily practitioner of AI-augmented development using GitHub Copilot and Claude, boosting team velocity by ~20%.
Panimalar Engineering College
B.E. · Computer Science & Engineering
N/A – June 30, 2022
Narayana Junior College
12th Standard · BIEAP
N/A – May 31, 2018
Ratnam High School
10th Standard · SSC
N/A – May 31, 2016
Tata Consultancy Services (TCS)
Java Backend Developer
September 1, 2025 – Present
Bengaluru, Karnataka, India
Cognizant
Java Developer
March 1, 2023 – August 1, 2025
Bengaluru, Karnataka, India
Cognizant
Java Developer Intern
February 1, 2022 – August 1, 2022
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate's experience across two major IT service companies (TCS, Cognizant) and diverse client domains (Telecom, Insurance) indicates adaptability and exposure to various organizational cultures and project types. Their involvement in leading migrations and adopting new technologies like serverless and AI tools suggests a proactive and innovative mindset, which aligns well with a dynamic and forward-thinking team. The emphasis on security, performance, and compliance in their work reflects a strong sense of responsibility and adherence to best practices. Their contributions to critical client portals and recognition for delivering milestones ahead of schedule demonstrate a commitment to client success and team goals.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their migration efforts and performance optimizations. Their experience in leading API design discussions and conducting code reviews suggests good collaboration and leadership potential. The use of AI tools indicates adaptability and a proactive approach to improving productivity. Their work on critical client initiatives and recognition for early delivery points to a results-oriented and reliable work ethic. The candidate's experience across different client domains (Telecom, Insurance) suggests adaptability and a broad understanding of business requirements.