Senior Site Reliability Engineer

MicrosoftRedmond, WA
2d

About The Position

Work with all aspects of a high throughput and multi-tenant service. 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 culture and values Design, implement, and refine chosen solutions in close partnership with Product Management and partner team

Requirements

  • Master's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical experience in software engineering, network engineering, or systems administration
  • Doctorate Degree in Computer Science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, or systems administration OR Master's Degree in Computer Science, Information Technology, or related field AND 6+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, or systems administration OR equivalent experience.
  • 3+ years technical experience working with large-scale cloud or distributed systems.

Nice To Haves

  • demonstrated experience querying structured data

Responsibilities

  • 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.
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