Azure Infrastructure Architect

Role: AI-Enabled Azure & Databricks Infrastructure Engineer Location: India (Offshore) Experience: 12-15 Years Role Overview We are seeking a highly skilled AI-Enabled Azure & Databricks Infrastructure Engineer to design, build, automate, and support cloud-native data and analytics platforms on Microsoft Azure. The engineer will be responsible for provisioning, securing, monitoring, and optimizing Azure infrastructure and Databricks environments while leveraging AI-assisted engineering tools to improve delivery speed, quality, and operational efficiency. This role is ideal for engineers who combine strong cloud infrastructure expertise with automation-first thinking and the ability to utilize GenAI tools for infrastructure management, troubleshooting, documentation, and platform operations. Key Responsibilities Azure Infrastructure Engineering Design and manage Azure landing zones, subscriptions, resource groups, and governance frameworks. Provision and maintain Azure services including: Virtual Networks (VNet) Private Endpoints Azure Storage Key Vault Azure SQL Azure Kubernetes Service (AKS) Azure Monitor Log Analytics Azure App Services Implement infrastructure security controls aligned with enterprise standards. Support high availability, disaster recovery, backup, and resiliency requirements. Databricks Platform Engineering Deploy and manage Azure Databricks workspaces. Configure clusters, policies, job scheduling, and workload optimization. Manage Unity Catalog, access controls, data governance, and workspace security. Support integration with Azure Data Lake Storage (ADLS Gen2). Optimize platform performance and cost utilization. Enable CI/CD and automated deployment pipelines for Databricks assets. DevOps & Infrastructure Automation Build Infrastructure as Code (IaC) solutions using: Terraform Bicep ARM Templates Develop CI/CD pipelines using: Azure DevOps GitHub Actions Automate environment provisioning, configuration management, and operational tasks. Implement GitOps and automated deployment practices. AI-Enabled Engineering Leverage AI coding assistants and GenAI tools to accelerate infrastructure development and troubleshooting. Use AI-assisted approaches for: Infrastructure code generation Configuration validation Root cause analysis Operational runbook creation Monitoring insights Knowledge management Continuously identify automation opportunities using AI and intelligent operations techniques. Contribute to AI-assisted platform engineering best practices. Platform Operations & SRE Monitor platform health, availability, and performance. Implement observability using Azure Monitor, Application Insights, Log Analytics, and Databricks monitoring tools. Support incident management, problem management, and root cause analysis. Drive operational excellence through automation and self-healing mechanisms. Participate in on-call and production support activities as needed. Required Technical Skills Azure Azure Administration Azure Networking Azure Security Azure Storage Azure SQL Azure Key Vault Azure Monitor Azure Active Directory / Entra ID Azure Policy Azure Cost Management Databricks Azure Databricks Administration Cluster Management Unity Catalog Delta Lake Job Orchestration Workspace Governance Performance Optimization DevOps & Automation Terraform Azure DevOps GitHub Actions CI/CD Pipelines PowerShell Python Bash Scripting Git Monitoring & Operations Azure Monitor Log Analytics Application Insights ServiceNow (preferred) Incident and Problem Management AI Engineering Expectations The candidate should demonstrate practical experience using AI-assisted engineering tools such as: GitHub Copilot Claude Microsoft Copilot AI-based Infrastructure Automation Assistants AI-powered monitoring and observability platforms Expected outcomes include: Faster infrastructure provisioning Reduced operational effort Automated documentation generation Improved troubleshooting efficiency Increased deployment reliability Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 8+ years of Azure infrastructure experience. 5+ years of Azure Databricks administration experience. Experience supporting enterprise-scale cloud environments. Strong understanding of cloud security and governance frameworks. Preferred Certifications Microsoft Certified: Azure Administrator Associate Terraform Associate Certification Success Metrics Infrastructure deployment automation >90% Reduced platform provisioning effort through AI-assisted automation Improved platform availability and operational SLAs Faster incident resolution through AI-enabled diagnostics Optimized cloud and Databricks consumption costs High compliance with sec