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Java Full Stack Developer AI & Cloud

salary Salary :

₹1,800,000 - 2,200,000 yearly

Job Description - 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.

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