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.