Java Full Stack Developer

Job SummaryWe are seeking a highly skilled Java Full Stack Developer with 5–10 years of experience in designing, developing, and maintaining enterprise-grade applications. The ideal candidate should have strong expertise in Java Full Stack development, modern front-end technologies, and database design, along with exposure to AI-enabled solutions and cloud-native application development.Key Skills•Java 11 / Java 17•Spring Boot•Microservices Architecture•Angular•Front-End Development (HTML5, CSS3, JavaScript, TypeScript)•RESTful APIs•Database Design and Development (Oracle, SQL Server, PostgreSQL, or similar RDBMS)•Reflection Frameworks and Core Java Concepts•AI-enabled Application Development / AI Integration•Git, Maven, Jenkins, CI/CD•Agile / Scrum MethodologiesRoles & Responsibilities•Design, develop, test, and deploy scalable full-stack applications using Java and Angular.•Develop robust backend services using Java 11/17, Spring Boot, and Microservices.•Build responsive and user-friendly front-end components using Angular.•Develop and optimize REST APIs and integrate third-party services.•Design and maintain relational databases and ensure high-performance data access.•Participate in application architecture, design reviews, and technical discussions.•Implement coding best practices, security standards, and performance optimizations.•Collaborate with cross-functional teams including Product Owners, QA, DevOps, and Business Stakeholders.•Contribute to AI-enabled features and automation initiatives where applicable.•Troubleshoot production issues and provide timely resolutions.Required Qualifications•Bachelor's degree in Computer Science, Engineering, or a related field.•5–10 years of hands-on experience in Java Full Stack development.•Strong expertise in Java 11/17, Spring Boot, and Microservices.•Solid experience with Angular and modern front-end development practices.•Strong understanding of relational databases and query optimization.•Excellent problem-solving, debugging, and analytical skills.•Strong communication and stakeholder management skills.Preferred Qualifications•Exposure to cloud platforms such as AWS, Azure, or GCP.•Experience with AI/ML integrations or AI-enabled applications.•Knowledge of containerization technologies such as Docker and Kubernetes.•Experience working in large-scale enterprise environments, preferably within Banking and Financial Services.