Azure Infrastructure Engineer (W2 - Hybrid) - FORD - 328009

Hi We have a job opportunity of a Role Azure Infrastructure Engineer with given job description on W2. Please forward updated profile to or +1 .

Role: Azure Infrastructure Engineer (W2 Position)

Location: Dearborn, MI (Hybrid)- 328009

Duration: 12+ Months

Experience: 6+ Years

Client: Ford Motors

JD:

Skills Required:

• Microsoft Azure

Skills Preferred:

• Client Management

Experience Required:

• Engineer 2 Exp.: Practitioner: 1 coding language or framework. 4+ years in IT; 3+ years in development

Key Responsibilities

• Involved in the design, operation, and maintenance of enterprise servers, including specialty mainframe systems like IBM/LPARS, high performance super computing systems, and general-purpose hybrid and cloud systems, for optimal end-user business operations.
• Research, design, implement and maintain complex infrastructure solutions for internal customer needs such as specialty software, data warehouses, identity access management, event frameworks, containerization and on demand scaling, etc.
• Design and configure secure virtualized environments aligned with enterprise architecture blueprints consisting of virtual machines, virtual networks, high speed and distributed storage systems (SAN, HDFS, SSD, etc.)
• Utilize existing tools or assist in engineering custom monitoring solutions to ensure systems are configured correctly, run efficiently and remain secure against potential threats.
• Monitor and review resources like CPU, memory, storage, and network traffic to ensure effective utilization aligned with expected parameters and to safeguard against runaway costs.
• Resolve bottlenecks and plan for future capacity needs based on resource usage trends. Advise enterprise architecture teams on usage trends to incorporate into future blueprints.

Additional Information :

• 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
• 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.