Job Summary We are looking for an experienced Java Backend Developer with strong expertise in designing, developing, and maintaining scalable, secure, and high-performance backend applications. The ideal candidate will have hands-on experience with Java, Spring Boot, REST APIs, microservices, databases, and cloud technologies. Exposure to Artificial Intelligence (AI), Generative AI, and AI-assisted software development tools is a plus. Candidates with an interest in integrating AI capabilities into backend applications will be preferred.

Key Responsibilities

• Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
• Build and maintain RESTful APIs and microservices architectures.
• Develop clean, reusable, maintainable, and high-quality code following industry best practices.
• Work with relational and NoSQL databases, including query optimization and data modeling.
• Implement application security, authentication, authorization, and performance optimization.
• Integrate backend services with third-party APIs, enterprise systems, and cloud-based applications.
• Develop unit and integration tests using JUnit, Mockito, and related testing frameworks.
• Work with CI/CD pipelines, Git, Docker, and cloud platforms to support application deployment.
• Troubleshoot production issues, perform root-cause analysis, and improve application reliability.
• Collaborate with architects, product owners, QA engineers, DevOps teams, and other developers in an Agile environment.
• Leverage AI-assisted development tools, where appropriate, to improve productivity and code quality.

Required Technical Skills

• Strong hands-on experience with Java 8/11/17 or newer.
• Expertise in Spring Boot, Spring MVC, and Spring Framework.
• Experience building REST APIs and microservices.
• Strong knowledge of object-oriented programming, design patterns, and SOLID principles.
• Experience with Hibernate/JPA and ORM frameworks.
• Proficiency in SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Experience with Git and build tools such as Maven or Gradle.
• Hands-on experience with unit testing using JUnit and Mockito.
• Understanding of authentication and authorization using OAuth 2.0, JWT, or Spring Security.
• Familiarity with messaging technologies such as Kafka or RabbitMQ.
• Experience with Docker, CI/CD, and application monitoring.
• Strong debugging, analytical, communication, and problem-solving skills.

Nice-to-Have

Skills – AI & Generative AI Candidates with experience in one or more of the following areas will have an added advantage: