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Senior Java Engineer with 3+ years in Spring Boot & Microservices
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Java Backend Engineer with around 4 years of experience in designing and architecting scalable fault-tolerant microservices and distributed systems. Expert in full-stack backend development: Spring Boot, RESTful API design, System Architecture, Microservices patterns, Distributed Systems, Database Optimization, and DevOps practices. Proven technical leadership in code review, mentoring junior developers, CI/CD pipeline optimization, and production incident management. AWS Certified Cloud & AI Practitioner with expertise in containerization (Docker, Kubernetes), infrastructure automation, and zero-downtime deployment strategies. Demonstrated ability to deliver high-quality, fault-resilient backend solutions with measurable business impact.
Madanapalle Institute of Technology and Science
B.Tech · Electronics & Communication Engineering
August 1, 2018 – June 30, 2022
WIPRO LIMITED
Java Backend Developer – Fault & Alarm Management
January 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
WIPRO LIMITED
Java Backend Developer – IBM TRIRIGA
April 1, 2022 – December 1, 2024
Bengaluru, Karnataka, India
Medfill - Medicine Availability Platform
June 19, 2026 – Present
Developed end-to-end web application enabling real-time medicine availability search across pharmacy network; served 100+ test users during QA phase with 99% uptime. Architected Spring Boot RESTful backend with MySQL database integration; implemented user/pharmacy authentication, medicine inventory search, geolocation-based shop discovery using Google Maps API.
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
AWS Certified AI Practitioner
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across two distinct projects within the same company (Wipro) showcases adaptability and a breadth of technical application. Their involvement in full Agile/Scrum ceremonies and collaboration with various stakeholders (QA, Product Management, Infrastructure) indicates a team-oriented mindset. The use of AI tools like Cursor, Microsoft Copilot, and ChatGPT, along with AWS certifications, suggests a proactive approach to learning and adopting new technologies, which aligns well with an innovative culture. The project diversity, from enterprise workplace management to fault and alarm management, demonstrates versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum environments, collaboration with cross-functional teams, and proactive problem-solving in production incidents. Their ability to manage CI/CD pipelines and deploy containerized services indicates a good understanding of modern DevOps practices. The descriptions highlight a results-oriented approach with quantifiable achievements in defect reduction, performance optimization, and system availability.