Java Full Stack Developer

Role Summary
We are seeking a highly skilled Full Stack Developer with strong hands-on 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.

What You'll Do

As a Java Full Stack Developer, you will:

• Design, develop, test, and deploy scalable enterprise applications using Java 17/21.
• Build and maintain RESTful APIs and Microservices using Spring Boot.
• Develop high-quality, maintainable, and performance code adhering to best practices.
• Participate in application modernization and cloud readiness initiatives.
• Utilize AI-assisted development tools (GitHub Copilot, Claude etc.) to improve development efficiency and code quality.
• Collaborate with business analysts, architects, QA teams, and DevOps teams throughout the SDLC.
• Troubleshoot production issues and provide timely resolution.
• Participate in code reviews and contribute to continuous improvement initiative

Requirements

• Strong expertise in Java Fundamentals, including Collections Framework, Multithreading &Concurrency
• Streams & Lambda Expressions, Memory Management &JVM Concepts, Exception Handling
• Design Patterns, Performance Optimization
• Hands-on experience in Java 17 and/or Java 21implementations.
• Strong experience with: Spring Boot, Spring MVC, Spring Data JPA
• Microservices Architecture & REST API Development
• Experience with Apache Kafka implementation and event-driven architecture.
• Experience working with AI-powered software developmenttools.
• Experience on Databricks workflows
• Experience in AWS Cloud Services (EC2, S3, RDS, Lambda, IAM, CloudWatch)
• Demonstrated end-to-end implementation experience in enterprise applications.
• Strong coding and problem-solving skills using core Java tech stack
• Ability to independently develop and deliver features.
• Experience working in Agile development teams.
• Good communication and stakeholder interaction skills.

Basic Knowledge of

• Python and Pyspark
• SQL and PL/SQL
• Familiarity with Git, CI/CD, Maven/Gradle, and Agile methodologies.