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.