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experience in Java 17/21, Spring Boot, Microservices, AWS and Databricks, The ideal candidate should possess strong Java fundamentals, have extensive implementation experience across the software development lifecycle, and be comfortable leveraging AI-assisted development tools to improve productivity and code quality.\nKey Responsibilities\n· Design, develop, test, and deploy scalable enterprise applications using Java 17/21.\nBuild and maintain RESTful APIs and Microservices using Spring Boot.\n· Develop high-quality, maintainable, and performant code adhering to best practices.\n· Participate in application modernization and cloud readiness initiatives.\n· Utilize AI-assisted development tools (GitHub Copilot, Claude etc.) to improve development efficiency and code quality.\n· Collaborate with business analysts, architects, QA teams, and DevOps teams throughout the SDLC.\n· Troubleshoot production issues and provide timely resolution.\n· Participate in code reviews and contribute to continuous improvement initiatives.\nRequired Skills\nCore Technical Skills\n· Strong expertise in Java Fundamentals, including Collections Framework, Multithreading & Concurrency\n· Streams & Lambda Expressions, Memory Management & JVM Concepts, Exception Handling\n· Design Patterns, Performance Optimization\n· Hands-on experience in Java 17 and/or Java 21 implementations.\n· Strong experience with: Spring Boot, Spring MVC, Spring Data JPA\n· Microservices Architecture & REST API Development\n· Experience with Apache Kafka implementation and event-driven architecture.\n· Experience working with AI-powered software development tools\n· Experience on Databricks workflows\n· Experience on AWS Cloud Services (EC2, S3, RDS, Lambda, IAM, CloudWatch)\nBasic knowledge of:\n· Python and Pyspark\n· SQL and PL/SQL\n· Familiarity with Git, CI/CD, Maven/Gradle, and Agile 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