Java Full Stack Developer – AI & Cloud

Summary
We are seeking an accomplished Java Full Stack Developer with a specialized focus on Artificial Intelligence and Cloud technologies to join our IT Services division. In this pivotal role, you will architect and deploy scalable solutions that leverage cutting-edge cloud infrastructure and advanced machine learning capabilities. This position is designed for a seasoned professional who can bridge the gap between robust backend development and intelligent, data-driven applications, driving innovation within our technical landscape.

Responsibilities

• Design, develop, and maintain high-performance applications using Java, .NET, or Python within a microservices and event-driven architecture.
  
• Implement and manage continuous integration and deployment pipelines utilizing CI/CD tools and infrastructure-as-code technologies like Terraform or CloudFormation.
  
• Containerize applications and orchestrate deployments using Docker and Kubernetes to ensure scalability and reliability.
  
• Engineer and optimize real-time data streaming solutions using Kafka and other message queue systems.
  
• Develop and integrate RESTful and GraphQL APIs to support seamless data exchange across services.
  
• Apply prompt engineering techniques and work with Large Language Models (LLMs) to enhance application intelligence and user interaction.
  
• Collaborate with cross-functional teams to define technical requirements and deliver robust, secure, and efficient software solutions.
  

Requirements

Requirements:

• Possess 8 to 15 years of professional software development experience within the IT Services sector.
  
• Demonstrate deep expertise in backend development languages including Java, .NET, or Python.
  
• Have proven proficiency in containerization and orchestration platforms such as Docker and Kubernetes.
  
• Show strong command over infrastructure automation using Terraform or CloudFormation.
  
• Exhibit hands-on experience with CI/CD methodologies and tools for streamlined software delivery.
  
• Be skilled in designing and consuming REST and GraphQL APIs.
  
• Understand and apply concepts of microservices and event-driven architectural patterns.
  
• Possess practical knowledge of prompt engineering and working with LLMs.
  
• Have experience managing message queuing systems like Kafka.
  
• Target compensation range: ₹18-22 LPA.