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Role & Responsibilities - Design and develop enterprise-grade applications using Java Spring Boot and Python with strong hands-on coding involvement. - Architect and implement scalable, cloud-native solutions across AWS, Azure, and Google Cloud environments. - Integrate Generative AI and Agentic AI capabilities into enterprise workflows for automation and intelligent decision-making. - Develop and maintain REST/GraphQL APIs, microservices, and event-driven systems using Kafka or messaging frameworks. - Implement containerized solutions using Docker and Kubernetes with CI/CD pipelines and Infrastructure as Code (Terraform/Bicep). - Collaborate with DevOps, product, and infrastructure teams to deliver secure, high-performance applications. - Ensure adherence to security best practices including IAM, encryption, and secure coding standards. - Provide technical leadership, mentor developers, and contribute to architectural decisions. - Continuously evaluate emerging AI, cloud, and full-stack technologies to drive innovation. Preferred Candidate Profile - 3-12 years of hands-on full-stack development experience with at least 2 years in a lead developer or junior architect role. - Strong expertise in Java Spring Boot and Python for backend systems. - Working knowledge of React or Angular for front-end development. - Experience deploying applications in multi-cloud environments (AWS, Azure, GCP). - Exposure to Generative AI, prompt engineering, AI integration, or cloud AI services (e.g., Azure OpenAI, Claude, TensorFlow, PyTorch). - Solid understanding of microservices, API integration, and event-driven architecture. - Familiarity with Docker, Kubernetes, Terraform/Bicep, and CI/CD pipelines. - Robust debugging, analytical, and problem-solving skills. - Excellent communication and cross-functional collaboration abilities. - Bachelors degree in Computer Science/Engineering; relevant cloud or AI certifications preferred. .