We are looking for candidate who is responsible for building and operating IT hardware and software resources in on-prem, cloud or hybrid scenarios in support of internal customer needs. They are responsible for a wide variety of activities that operationalize cross functional teams such as capacity planning and resource optimization solutions for one-off and long-term workloads, planning, configuring and maintaining servers (including mainframes), creating virtualized environments, providing analytics services, installing and maintaining specialized tools, etc. 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. Job Requirements Experience Required • 5+ years of experience in Microsoft Azure, KQL, Log Analytics, Intune Data Warehouse and Power BI • 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. Education Required: Bachelor's Degree **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives*** Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. #LI-FA1 #LI-ONSITE Pay Range: $ 61.00 - $ 66.00