Java Full Stack Developer

Job Summary

We 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 Methodologies

Roles & 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.