Microsoft Datacenter Forensic Engineer 

Ireland, Dublin 

167692931

our culture every day.

is responsible forof our unified infrastructure; and responsible for all operations needed to run the physical infrastructure. We focus on smart growth with an emphasis on automation, data-driven engineering, cost‐effectiveness, and environmental sustainability. We deliver the core infrastructure and foundational technologies for Microsoft's 200+ online businesses including Azure, Office 365, Bing, Xbox Live, Skype, and OneDrive.  Our portfolio is built and managed by a team of subject matter experts working 24x7x365 to

Qualifications:

• Bachelor's Degree AND solidexperienceinelectrical, mechanical, or controlsengineering

• OR equivalent experience

Other Requirements:

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings:

• requiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Solid experience in working in critical environments.
• Proficiencyin Datacenter or Critical Environment’s Mechanical and Electrical systems
• Communication and leadership skills to driveand supportprojects

• Proficient at utilizing Root Cause Analysis methodologies and creating Failure Mode and Effects Analyses (FMEA).
• Have led construction, design, and process reviews assessing availability and reliability threat vectors, while partnering with various teams to design out oreliminatethe potential issues.
• Have a “sense of urgency” to drive resolution and an unquenchable desire to understand root causes and incident triggers.
• Understanding of datacenter and topologies or equivalent Mission Critical facility background.
• Strong analytical skills – must be able to summarize large, complex data from multiple databases and systems.
• Must be a team player with the ability to influence cross functional team and leadership team in driving process improvement, efficiencies, and best practices.
• Able to work with people at all levels of management.
• Good communicationskills, both written and verbal.

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will beto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

• Lead and track forensic analysis of events which have occurred within the datacenter infrastructure.
• Function as a subject matter expert of her or his space, able to speak to all aspects of datacenter functions and failure modes in critical environments.
• Develop methodologies tovalidatedatacenter performance, system control parameters and operational efficiency against design intent anddeterminequantifiable deviations.
• Perform troubleshooting and root cause analysis associated with equipment failure.
• Review equipment and system performance data toidentifyissues through trend analysis.
• Assistsin the troubleshooting of issues in the field, remotely or in person.
• Review compliance with existing corrective and preventative maintenanceprogramto enhance operational readiness.

• Analyze full time employee and vendor staffing to include training, procedures, and site requirements as part of root cause analysisand solution implementations.
• Foster and promote our proactive implementation oflessonlearned from analysis across multiple design, construction, and operational organizations.
• Develop solutions for defectsidentifiedthrough trends and data analysis.
• Drive global standardization and consistency of processes, procedures, and reports withDatacenterOperations.
• Work with Site Operations Engineers toestablishvisual standards, process improvement anderror proofingsystems to drive efficiencyand availabilitywithin the business.
• Identifyandmonitorthe need for use of new tools to improve the quality of data and analytics.