Help us keep thousands of Windows, iOS, and Android devices healthy, secure, and productive. You'll be the engineer who closes the loop between Intune, Azure Monitor/Log Analytics, KQL, and Power BI-turning raw telemetry into actions that prevent issues before users ever notice them.

• Route and operationalize Intune logs in Azure: configure Intune Diagnostic Settings to send audit/operational/compliance/device logs to Azure Monitor / Log Analytics, then author KQL queries, alerts, and workbooks for proactive monitoring.

• Build executiveready insights: create Power BI dashboards fed by the Intune Data Warehouse and/or Log Analytics queries to trend compliance, deployments, and device health.

• Run multidevice queries at scale: use Intune Advanced Analytics - Device query for multiple devices (KQL) to answer fleetwide questions (e.g., drivers, firmware, crash patterns) and drive remediations.

• Measure update compliance: implement Windows Update for Business reports (Azure Monitor Logs) and craft KQL queries/Workbooks that track patch deployments, failures, and safeguards.

• Deploy and optimize Endpoint analytics: enable data collection, interpret startup/signin scores, and turn insights into configuration changes that reduce helpdesk tickets.

• Automate with Microsoft Graph: build secure automations and data exports using Graph (PowerShell/REST) for device, app, and policy operations manage app permissions and throttling considerations.

• Create and manage Microsoft Entra app registrations: design leastprivilege application permissions/secrets/certificates for Graph integrations document consent flows and lifecycle.

• Design & develop Azure Workflows: Design, build, and maintain server-less integration workflows using Azure Logic Apps and Azure Function apps to automate business processes.

• Manage Azure substrate for analytics: create and govern Log Analytics workspaces, access control, data retention, and (where needed) data export.

• Secure access with Device Compliance: integrate Intune compliance with Conditional Access to enforce require compliant device for key apps while supporting exceptions and staged rollouts.

• Document and mentor: publish runbooks, standards, and KQL/Power BI templates coach analysts and support engineers.

  How you'll work:

• Own outcomes endtoend: define the signal, build the query, ship the dashboard, and land the fix.

• Partner closely with Security, Networking, and Collaboration teams on Conditional Access, device risk, and rollout strategies.

• Continuously improve: baseline with Endpoint analytics A/B changes measure and iterate.

Tech you'll use here:

• - Microsoft Intune, Endpoint analytics, Advanced Analytics - Device query, Windows Autopilot.

• Azure Monitor / Log Analytics, Power BI (datasets from Log Analytics + OData).

• Microsoft Graph API, Microsoft Entra ID app registrations.

• Handson with Azure Monitor / Log Analytics, KQL, and Power BI.

• Strong coding skills in languages relevant to Azure automation - C#, PowerShell, Graph API, KQL functions, and automation run books.

• Proven experience building Intune Data Warehouse and/or Log Analyticsbacked dashboards that drive decisions.

• Comfort with Intune Advanced Analytics - Device query for multiple devices and writing efficient KQL.

• Practical knowledge of Windows Update for Business reports and update compliance troubleshooting.

• Ability to create and maintain Microsoft Entra app registrations (secrets/certs) and build automations with Microsoft Graph (PowerShell or REST).

• Solid understanding of RBAC for Log Analytics workspaces and leastprivilege access patterns.

• 4-6 years experience with Azure Integration Experience

Nice to have skills

• Experience with Windows Autopilot endtoend, Endpoint analytics tuning, and Azure Workbooks.

• Depth with Android Enterprise and iOS/iPadOS Automated Device Enrollment (ABM/ASM).

• Certifications such as Endpoint Administrator Associate, Identity and Access Administrator, Azure Administrator Associate, Enterprise Data Analyst Associate.

• Experience with Azure AI Foundry & Security Copilot to build models for analyzing trends from log analytics.