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Senior Software Engineer

Microsoft
United States, Texas, Irving
7000 State Highway 161 (Show on map)
Nov 27, 2024
OverviewBe part of the Datacenter Management transformation!The Titan team forms the core stack that powers the Microsoft Cloud and manages datacenter infrastructure for the global Microsoft fleet, including Azure, Xbox, Exchange and more. Titan is a microservices platform that runs the cloud at massive scale. We're on a mission to define the next generation of datacenter and control plane service architecture that allows us to scale to a rapidly growing fleet and new customer scenarios.We strive to deliver high availability and ultra-low operational costs by focusing on inventory abstraction and fungibility, datacenter hardware health and correctness, lifecycle automation, and hardware innovation.Datacenter Manager manages and abstracts all the datacenter infrastructure (from power units and network switches to servers, cables and disks) for Azure and is responsible for enabling scenarios at cloud scale including hardware security, compliance and monitoring, physical device operation command & control, diagnostics & failure analysis, device repair and replacement, and hardware fungibility for first- and third-party workloads.We're on a mission to provide high availability and fast performance guarantees to enable Enterprise/ITs/CSVs (Cloud Service Vendors) to host applications and workloads on Azure. Azure depends on us to enable a state-of-the-art cloud capable of operating in a self-managing datacenter with low cost and high efficiency.
ResponsibilitiesDesign & develop features that power the transformation in Azure Datacenter Management.Work across multiple teams, to drive agreement on requirements & design.Effectively lead and drive design discussions, code reviews & mentoring for junior developers.Work on highly available systems that operate at massive scale - with intimate knowledge of concepts like micro-services, backward compatibility, safe deployment & big red buttons.Focus on fundamentals and quality, via data driven metrics.
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