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Senior Java Engineer with 3+ years in Microservices & Cloud Technologies.
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Assessing your cultural and operational fit
Java Backend Developer with 3.9+ years of professional experience at Tata Consultancy Services (TCS) in building and maintaining scalable backend systems. Proficient in Java, Spring Boot, Microservices, RESTful APIs, JDBC, and Hibernate with strong expertise in PostgreSQL and MySQL for database design, optimization, and integration. Experienced in Agile methodologies, collaborating with cross-functional teams to deliver secure, high-quality, and client-focused IT solutions.
Acharya Nagarjuna University
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2018 – June 30, 2021
Tata Consultancy Services
System Engineer – Java Backend Engineer
September 1, 2022 – Present
Gandhinagar, Gujarat, India
Google Cloud Certified - Associate Cloud Engineer
Google Cloud
June 1, 2026 – Present
Microsoft Certified - Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services, a large IT services company, suggests an ability to work in structured environments and with diverse client requirements. Their involvement in improving application security and performance, along with a focus on client-focused solutions, aligns with a culture that values quality and efficiency. The breadth of skills listed, including various cloud platforms (GCP, Azure), indicates a willingness to learn and adapt to new technologies, which is beneficial for cultural fit in a dynamic environment. However, the lack of diverse project experience outside of a single company might indicate a narrower exposure to different organizational cultures or project types.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by reducing system errors by 40% and resolving multiple production issues. Their experience in Agile environments and collaboration with cross-functional teams suggests good teamwork and adaptability. The mention of client appreciation and a 100% on-time delivery record indicates reliability and a strong work ethic. The use of AI-assisted tools points to a proactive and efficient operational approach.