QA Automation Engineer

• 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.
• 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.

Azure Endpoint/Automation Engineer

Ignition Engineer