Digital : Azure Machine Learning (ML)

Job highlights

• Open and manage support cases with hardware vendors,including hardware replacement when required - Plan and install OEM release updates for servers and switches in line with VWFS processes
• Ability to work flexibly,including some planned weekend and out-of-hours activities - Excellent communication,presentation and interpersonal skills are a must

• Preferred candidate profile . .

• Monitor server and switch hardware using vendor tools (HPE OneView, Dell Open Manage, etc.) - Open and manage support cases with hardware vendors, including hardware replacement when required - Plan and install OEM release updates for servers and switches in line with VWFS processes. - Apply and report monthly security updates for AppService worker nodes via WSUS (outside working hours) - Maintain performance and availability workbooks for Azure Stack Hub - Deploy and maintain customer resources (VMs, KeyVaults, Log Analytics, Load Balancers, Scale Sets, etc.) - Manage annual certificate exchanges for platform and AppService providers

Must-Have:- - 12 to 14 years of IT experience, with strong focus on Microsoft Azure and hybrid cloud environments. - Deep hands-on knowledge of Azure Stack Hub, App Services, PowerShell, ARM templates, monitoring, and automation - Experience working with hardware vendors (HPE, Dell) and managing hardware lifecycle. Strong understanding of L22, and high availability setups. - Ability to work flexibly, including some planned weekend and out-of-hours activities - Excellent communication, presentation and interpersonal skills are a must. Good-to-Have :- - Microsoft Azure certification - German knowledge or prior experience working with German customers is a plus Role & responsibilities

Preferred candidate profile