Consultant- Azure Fullstack Developer

Job description

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Level: Assistant Manager and below | Location: Gurugram, Bangalore

Role Overview

We are looking for an Azure Full Stack Developer to build secure, scalable, and cloud-native AI applications. The role will focus on full-stack development, Azure AI service integration, containerization, infrastructure automation, and private enterprise deployments.

Key Responsibilities

• Develop responsive and scalable AI-enabled web applications
• Build front-end interfaces using React, Angular, or equivalent frameworks
• Develop backend services and APIs using .NET, Node.js, or Python
• Integrate Azure AI services, enterprise data sources, and business applications
• Containerize applications using Docker and deploy through Kubernetes or Azure Container Apps
• Configure Azure infrastructure, application environments, and deployment pipelines
• Implement infrastructure as code and automated CI/CD processes
• Support private deployments using virtual networks, private endpoints, and controlled connectivity
• Implement authentication, role-based access, secure secret management, logging, and monitoring
• Collaborate with AI engineers, architects, DevOps teams, and business stakeholders

Required Skills

• Strong full-stack development experience
• Proficiency in React or Angular and.NET, Node.js, or Python
• Experience building and integrating REST APIs and microservices
• Hands-on exposure to Azure AI services and Azure application services
• Experience with Docker, Kubernetes, or Azure Container Apps
• Understanding of Azure networking, identity, storage, and application security
• Experience with Azure DevOps, GitHub, and CI/CD pipelines
• Exposure to infrastructure-as-code tools such as Terraform or Bicep
• Knowledge of SQL and NoSQL databases
• Understanding secure coding, testing, monitoring, and performance optimization

Preferred Experience

• 3 to 7 years of relevant full-stack or cloud development experience
• Experience deploying AI or GenAI applications on Azure
• Exposure to Azure OpenAI, Azure AI Foundry, Azure Machine Learning, or Document Intelligence
• Experience with private endpoints, VNets, managed identities, Azure Key Vault, and RBAC
• Familiarity with enterprise security, data privacy, and responsible AI requirements
• Ability to troubleshoot applications across code, containers, infrastructure, and network layers

What We Are Looking For

A hands-on developer who can combine full-stack engineering, Azure cloud services, containerization, and security to deliver production-ready enterprise AI applications.