Principal Engineering - Azure Storage

Are you ready to shape the future of Artificial intelligence AI-scale storage solutions? Join the Azure Storage organization, where you will drive innovation and solve technical challenges at hyperscale. This team powers mission-critical storage systems-including both the core Storage platform and Azure Disks-ensuring performance, scalability, and reliability for the world's most demanding AI workloads. You'll collaborate with brilliant minds to deliver next-generation systems that push the boundaries of what's possible in distributed storage and cloud technologies.

As a Principal Engineer in Azure Storage and Disks, you will lead a high-impact team driving enhancements across our storage control plane and disks platform, ensuring they can meet the demands of exponential AI-scale workloads. You will spearhead AI-driven innovations to help Azure Storage reach effectively infinite scale, tackling system bottlenecks, optimizing performance, and enhancing resiliency. You will also work cross-organization to empower numerous Azure products, multiplying your impact radius and driving platform-wide improvements. This opportunity will allow you to grow your expertise in distributed systems, Azure Storage, and Disks, sharpen your technical and leadership skills, and contribute to cutting-edge solutions that power AI applications on a global scale.

Responsibilities

Partner with stakeholders to determine requirements for scalable, reliable, and high-performance storage solutions.Lead the design and implementation of enhancements to optimize the storage and disk control plane for AI-scale workloads. Identify and address bottlenecks in system performance and scalability while driving improvements across the platform.Act as a Designated Responsible Individual (DRI) to ensure system availability, performance, and fault tolerance, including participation in on-call rotations.Leverage subject matter expertise in Azure Storage, Disk and distributed systems to influence technical decisions and product roadmaps.

• Partner with stakeholders to determine requirements for scalable, reliable, and high-performance storage solutions.
• Lead the design and implementation of enhancements to optimize the storage and disk control plane for AI-scale workloads.
• Identify and address bottlenecks in system performance and scalability while driving improvements across the platform.
• Act as a Designated Responsible Individual (DRI) to ensure system availability, performance, and fault tolerance, including participation in on-call rotations.
• Leverage subject matter expertise in Azure Storage, Disk and distributed systems to influence technical decisions and product roadmaps.

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to C# or Java,

• OR equivalent experience.

Other Required Qualifications:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter., * Bachelor's Degree in Computer Science
• OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
• OR Python
• OR Master's 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.

• 4+ years people management experience.
• 6+ years of hands-on software development experience with a focus on Cloud and large distributed systems architectures.
• 2+ years of experience being a technical lead.

#azurecorejobs

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 per year.

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