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Sr. Fleet Debugger

Microsoft· Software Engineering
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United States, Oregon, Hillsboro, United States, California, Mountain View, United States, Washington, Redmond, United States, Texas, Austin$119.8k - $234.7kFull-timePosted 4d ago

About the role

Microsoft SCHIE seeks a Sr. Fleet Debugger to solve hardware, firmware, software, and system-level problems across Microsoft’s Global Azure Cloud, leveraging telemetry, automation, and agentic workflows to improve fleet readiness, reliability, diagnosability, and recoverability.

Responsibilities

  • Architect and deliver AI-native, end-to-end system debug solutions for hyperscale datacenter infrastructure, combining engineering expertise, telemetry, automation, and agentic workflows.
  • Design and orchestrate human-agent engineering workflows that accelerate failure detection, triage, segmentation, root cause analysis, mitigation, remediation, and learning.
  • Build specialized engineering agentic skills, tools, and reusable workflows that codify debug knowledge and enable autonomous or human-supervised execution at scale.
  • Lead cross-functional debug and root-cause initiatives spanning hardware, firmware, software, platform, and datacenter systems, using agents and automation to reduce coordination and investigation overhead.
  • Own measurable improvements in system reliability and debug effectiveness, including faster fault isolation, reduced time to root cause, defect reduction, automation coverage, and prevention of repeat failures.
  • Lead investigation of complex and ambiguous system failures, applying technical judgment where automated or agentic systems encounter novel scenarios, insufficient evidence, or conflicting signals.
  • Develop world-class at-scale debug methodologies, diagnostic strategies, validation techniques, and automated test routines for datacenter systems.
  • Engineer closed-loop learning systems that convert incidents, debug evidence, root causes, and engineering decisions into reusable knowledge that continuously improves agents, automation, diagnostics, and future platform readiness.
  • Define safe and governed agentic execution models, including human-in-the-loop controls, validation, observability, permissions, and escalation paths for mission-critical engineering workflows.
  • Drive the transition from engineer-driven execution to outcome-driven engineering, where engineers define intent and guardrails while agents perform appropriate investigation, correlation, orchestration, and repetitive execution.
  • Provide technical leadership on emerging AI, agent, diagnostic, telemetry, and automation technologies, identifying opportunities to fundamentally improve how Fleet Engineering operates at datacenter scale.
  • Communicate complex engineering insights, decisions, risks, and progress through data-driven narratives that enable effective collaboration and decision-making across engineering teams, partners, and leadership.

Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements including Microsoft Cloud Background Check.

Skills

Required:Programming / CodingSystem debugging
Nice to have:AI-native automation

Benefits

  • See company benefits information at: https://careers.microsoft.com/us/en/us-corporate-pay
Last updated Oct 23, 2026. Interested? Apply on the company site.

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