AGENTAI-READY JAVA FULL STACK DEVELOPER

Summary

We are seeking a highly skilled professional with 8 to 12 years of experience to join our IT Services division. This role is pivotal for bridging traditional enterprise engineering with cutting-edge artificial intelligence capabilities. The successful candidate will design, develop, and maintain robust, scalable applications that leverage AI concepts and seamless integration. Operating within a salary range of ₹18-22 LPA, this position demands a deep understanding of modern development lifecycles and the ability to drive innovation through cloud-native architectures and advanced coding practices.

Responsibilities

• Architect and implement complex software solutions utilizing AI principles and integration frameworks to enhance application intelligence.
  
• Develop and optimize backend systems using .NET, C#, and Python alongside Java and Spring Boot ecosystems.
  
• Engineer scalable, cloud-native applications ensuring high availability and performance across distributed environments.
  
• Design and maintain efficient CI/CD pipelines to streamline deployment processes and ensure code quality throughout the Software Development Life Cycle (SDLC).
  
• Build responsive and dynamic user interfaces using modern front-end technologies such as React, Angular, or Vue.js, supported by TypeScript and JavaScript.
  
• Collaborate with cross-functional teams to define technical requirements and deliver enterprise-grade engineering solutions.
  
• Continuously refine codebases to adhere to best practices in security, performance, and maintainability.
  

Requirements

Requirements:

• Possess 8 to 12 years of professional experience in full-stack development within the IT Services sector.
  
• Demonstrate strong proficiency in Java, Spring Boot, .NET, and C# for backend logic and service orchestration.
  
• Exhibit solid expertise in front-end development with React, Angular, or Vue.js, coupled with advanced knowledge of TypeScript and JavaScript.
  
• Show proven capability in integrating AI concepts and models into existing software architectures.
  
• Have hands-on experience with cloud-native development strategies and containerization technologies.
  
• Be skilled in setting up and managing CI/CD pipelines to automate testing and deployment workflows.
  
• Maintain a comprehensive understanding of the Software Development Life Cycle (SDLC) and enterprise engineering standards.