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Azure Endpoint & Automation Engineer

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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.


  • Hands‑on 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 Analytics‑backed 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 least‑privilege access patterns.

  • 4-6 years experience with Azure Integration Experience

Nice to have skills
  • Experience with Windows Autopilot end‑to‑end, 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.


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

  • Run multi‑device queries at scale: use Intune Advanced Analytics – Device query for multiple devices (KQL) to answer fleet‑wide 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/sign‑in scores, and turn insights into configuration changes that reduce help‑desk 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 least‑privilege 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 end‑to‑end: 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.

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