Sr. Fleet Debugger
Job Location:
Hillsboro, IL - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Microsoft Silicon Cloud Hardware and Infrastructure Engineering (SCHIE) is the team behind Microsofts expanding Cloud Infrastructure and responsible for powering Microsofts Intelligent Cloud mission. SCHIE delivers the core infrastructure and foundational technologies for Microsofts over 200 online businesses including Bing MSN Office 365 Xbox Live Teams OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure security and compliance operations globalization and manageability solutions. Our focus is on smart growth high efficiency and delivering a trusted experience to customers and partners worldwide and we are looking for engineers to help achieve that mission.
As Microsofts cloud continues to scale our ability to deploy new hardware platforms and infrastructure quickly reliably and cost effectively is critical. The Hardware Infrastructure Management and Fundamentals Engineering (HIFE) organization drives hardware readiness quality reliability and operational excellence across Microsofts cloud infrastructure.
Fleet Engineering is transforming how complex infrastructure problems are solved by combining systems expertise with telemetry automation AI and agentic workflows. We are looking for a Sr. Fleet Debugger to solve hardware firmware software and system-level problems across Microsofts Global Azure Cloud enabled by remote at-scale engineering capabilities. The role turns expert engineering insights into scalable diagnostics automation intelligent workflows and reusable capabilities that improve Fleet readiness reliability diagnosability and recoverability.
#azurehwjobs #HIFE#SCHIE
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
Required Qualifications:
Masters Degree in Electrical Engineering Computer Engineering Mechanical Engineering or related field AND 3 years technical engineering experience OR Bachelors Degree in Electrical Engineering Computer Engineering Mechanical Engineering or related field AND 5 years technical engineering experience OR equivalent experience
Other Requirements:
Ability to meet Microsoft customer and/or government security screening requirements is required for this role. These requirements include but are not limited to the following specialized security screening:
Microsoft Cloud Background Check. This position is required to pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Preferred Qualifications:
Masters Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python
- Masters degree in Electrical engineering Computer Engineering Mechanical Engineering or related field OR Bachelors Degree in Electrical Engineering Computer Engineering Mechanical Engineering or related field AND 2 years technical engineering experience OR equivalent experience
OR Bachelors Degree in Computer Science or related technical field AND 8 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python
- OR equivalent experience.
Platform or system level debug and validation experience.
Data analytical skills - (knowledge on how to use large scale data and analytical tools).
Hardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119800 - $234700 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $160200 - $261000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
IC
