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As a Senior Software Engineer on the Azure Host Storage team, you will be part of a team responsible for delivering the Storage Virtualization platform that powers Azure Virtual Machines, Azure Kubernetes Service, and Containers. You will work on the full storage stack on Azure Host, including input/output (IO) handling, data caching, Quality of Service, encryption, and offloading IO processing into silicon. Our mission is to build the next-generation storage solution capable of scaling to millions of IOPS per virtual machine at sub-millisecond latency.
You will operate independently, leading focused feature crews and mentoring engineers, demonstrating leadership and technical depth. This is a unique opportunity to work on cutting-edge systems at massive scale, pushing the boundaries of what’s possible in cloud infrastructure.
Required Qualifications:
Other Requirements:
Preferred Qualifications:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until July 23, 2025.
• Collaborate with various stakeholders to enable various end-user scenarios
• Improve the control path architecture to enhance platform reliability, performance while reducing the Azure Host resource usage
• Support highly available services used by millions of users on a daily basis
• Help evolve our storage stack to reduce IO latencies to microsecond range at 99.999 percentile, update complete IO stack with zero impact to the Virtual Machine (VM), hardware innovations to offload Host processing
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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