Java Lead with AI

Modern Application Development

• In-depth knowledge of modern application architecture principles.
• Clear understanding of Data Structures and Object Oriented Principles using Java
• Practical experience with Artificial Intelligence (AI) tools for enhancing development workflows.
• Proficiency in Microservices frameworks (e.g., Spring Boot), Event-Driven Services, and Cloud-Native Application Development.
• Multiple years of experience on Service Oriented and Microservices architectures, including REST and GraphQL implementations
• Full Stack Proficiency: Demonstrated ability to design, develop, and maintain both front-end and back-end components of robust web applications.
• Front-End Development: Strong expertise in developing intuitive user interfaces using contemporary JavaScript frameworks (e.g., React), HTML5, and CSS.
• Back-End Development: Solid experience in developing server-side logic and APIs using languages such as Java, Python, or similar.
• Database Expertise: Comprehensive knowledge of SQL and PL/SQL, with a deep understanding of Relational Database Management Systems (RDBMS), particularly Oracle.
• API Development: Proven capability in designing, developing, and implementing high-performance RESTful APIs leveraging appropriate frameworks and technologies.

CI/CD and DevOps

• Proficiency with Continuous Integration/Continuous Deployment (CI/CD) pipelines and tools for building (e.g., Maven, Gradle) and deploying code (e.g., Docker, Jenkins, OpenShift).
• Experience with AWS is considered a significant advantage.

Agile Methodologies

• Practical experience working within Agile development methodologies and utilizing project management tools such as JIRA.