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Senior Java Developer with 5+ years in Spring Boot & Microservices
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Solution oriented Software Engineer with 5 years of experience in developing scalable web applications. Highly proficient in Java, Spring Boot, and Microservices architecture with a strong foundation in Data Structures and Algorithms (DSA) used to optimize application performance and resource efficiency. Adept at DevOps best practices, with hands-on experience in building and deploying containerized applications on RedHat OpenShift using CI/CD pipelines to ensure efficient and reliable software delivery. Passionate about developing high-quality, scalable, and efficient software with excellent problem-solving skills and ability to participate actively in accelerating team productivity through AI-assisted engineering best practices.
Jawaharlal Nehru National College of Engineering
B. E. · Computer Science & Engineering
August 1, 2016 – June 1, 2020
IBM
Software Developer
April 1, 2024 – Present
Bengaluru, Karnataka, India
Infosys
Software Engineer
April 1, 2021 – April 1, 2024
Bengaluru, Karnataka, India
AWS Cloud Practitioner (CLF-C02)
AWS
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
AWS Certified AI Practitioner (AIF-C01)
AWS
June 1, 2026 – Present
Google Data Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across different companies (IBM, Infosys) and exposure to various technologies (Java, Spring Boot, Microservices, AWS, Azure, Kafka, ReactJS, Docker, Kubernetes) indicates adaptability and a broad skill set. Their involvement in optimizing performance, enhancing security, and improving user experience aligns well with a dynamic, results-driven culture. The mention of AI-assisted engineering best practices also suggests an openness to adopting new tools and methodologies, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's resume highlights a solution-oriented approach and active participation in accelerating team productivity. Their experience in cross-functional collaboration (engineering, product, QA) suggests good teamwork and communication skills. The ability to resolve critical security vulnerabilities and optimize performance indicates a proactive and problem-solving mindset. The candidate's certifications and awards also reflect a commitment to continuous learning and high performance.