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Microsoft Site Reliability Engineer II 
United States, Washington 
218956620

13.08.2024


• 4+ years technical experience in software engineering, network engineering, or systems administration.
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in software engineering, network engineering, or systems administration
OR Master's Degree in Computer Science, Information Technology, or related field.
• 1+ years’ experience with scripting languages such as PowerShell, Python etc.
• Experience writing code to automate day-to-day tasks.


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


• 5+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in software engineering, network engineering, or systems administration.

Microsoft will accept applications for the role untilAug 23, 2024.

Responsibilities

• Work with all aspects of a high throughput and multi-tenant service.
• Collaborate effectively within the team and with partner teams across Microsoft.
• Be part of the on-call rotation for maintaining service health.
• Design, implement, and refine chosen solutions in close partnership with Product Management and partner teams.
• Champion operational excellence via established metrics, process governance, and policy controls for regular assessment and improvement.
• Document and define existing data engineering processes, data and technology, while evaluating them for optimization.
• Embody our and