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Azure AI Cloud Engineer (Azure DevOps, Terraform)

Location:
Ramapadu, Andhra Pradesh, 530040, India
Posted:
September 16, 2026

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Resume:

VARRI HARISH

*************@*****.*** • +91-955******* • Andhra Pradesh, India • https://www.linkedin.com/in/harish-varri/

PROFESSIONAL SUMMARY

AI Azure Cloud Engineer with 1 year of hands-on experience in Microsoft Azure, cloud infrastructure, AI solutions, and automation. Experienced in Azure OpenAI, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure AI Search, Python, and REST APIs. Skilled in Terraform, Infrastructure as Code (IaC), Docker, Kubernetes, Azure DevOps, GitHub Actions, and CI/CD for automating cloud infrastructure and application deployments. Knowledgeable in Azure Virtual Networks, Azure Key Vault, Microsoft Entra ID, RBAC, Azure Monitor, Log Analytics, and Application Insights, with a strong understanding of cloud security, monitoring, scalability, and cost optimization. Focused on building secure, scalable, automated, and AI-powered solutions on Microsoft Azure

EXPERIENCE

AI Developer - Cloud Hrud. AI, India Jan 2026 - Present

Automated provisioning and configuration of Azure resources using Terraform, reducing manual infrastructure setup effort

Improved deployment efficiency by implementing CI/CD workflows using Azure DevOps and GitHub Actions

Containerized Python-based applications using Docker and deployed them through Azure Container Registry and Azure App Service

Implemented monitoring and logging using Azure Monitor, Log Analytics, and Application Insights to improve application visibility and troubleshooting

Secured cloud resources using Microsoft Entra ID, RBAC, Azure Key Vault, and Network Security Groups

Built and integrated AI-powered applications using Azure OpenAI, Azure AI Search, RAG, Python, and FastAPI

Developed reusable Terraform modules to standardize Azure infrastructure deployments across environments

Optimized Azure resources for AI workloads, contributing to a 15% reduction in computational costs

Automated testing and deployment processes to improve application reliability and release consistency

PROJECTS

Azure OpenAI RAG-Based Document Chatbot Azure OpenAI, Azure AI Search, Azure Blob Storage, Python, FastAPI, RAG, LLM, Git

Developed an AI-powered document chatbot using Azure OpenAI and Retrieval-Augmented Generation (RAG)

Implemented document storage and processing using Azure Blob Storage

Integrated Azure AI Search for document indexing and retrieval of relevant information based on user queries

Integrated Azure OpenAI models to generate context-aware responses from retrieved document content

Developed REST APIs using Python and FastAPI to support chatbot functionality

Deployed the application on Microsoft Azure and maintained source code using Git

Automated Azure Infrastructure Deployment Using Terraform Microsoft Azure, Terraform, Virtual Machines, VNet, NSG, Storage Account, Key Vault, Git

Automated Azure infrastructure provisioning using Terraform and Infrastructure as Code (IaC) practices

Provisioned Azure Virtual Networks, subnets, Virtual Machines, Network Security Groups, and Storage Accounts

Integrated Azure Key Vault for secure management of application secrets and credentials

Developed reusable Terraform modules to standardize and simplify Azure infrastructure deployments

Maintained Terraform infrastructure code using Git for version control and change tracking

CI/CD Pipeline for Azure Application Deployment Azure DevOps, GitHub Actions, Docker, Azure Container Registry, Azure App Service, Python, Git

Designed and implemented CI/CD pipelines to automate application build, testing, and deployment processes

Containerized Python applications using Docker to ensure consistent deployment across environments

Stored and managed Docker container images using Azure Container Registry (ACR)

Automated application deployment to Azure App Service through CI/CD workflows

Used GitHub Actions and Azure DevOps to automate application integration and deployment processes

Streamlined deployment workflows to reduce manual intervention and improve release consistency

EDUCATION

Bachelors of Technology in Computer Science and Engineering Vignan’s Institute of Information Technology, India Oct 2022 - Apr 2026

SKILLS

Cloud: Microsoft Azure, Azure VMs, Azure App Service, Azure Functions, AKS, Azure Blob Storage

AI & Generative AI: Azure OpenAI, Azure AI Services, Azure Machine Learning, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG)

Infrastructure as Code: Terraform, ARM Templates, Bicep

DevOps & CI/CD: Azure DevOps, Azure Pipelines, GitHub Actions, Git, GitHub

Containers: Docker, Kubernetes, Azure Kubernetes Service (AKS)

Programming & Scripting: Python, Bash, PowerShell, SQL, FastAPI

Databases: Azure SQL Database, Cosmos DB, SQL

Networking: Azure Virtual Network (VNet), Network Security Groups (NSG), Load Balancer, VPN Gateway

Monitoring: Azure Monitor, Log Analytics, Application Insights

Security: Microsoft Entra ID, RBAC, Azure Key Vault



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