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Are you interested in solving the challenges of cloud-scale storage that supports the newest Artificial Intelligence (AI) workloads? Are you passionate about distributed systems, infrastructure services, massive scalability, and quality? Azure Storage is at the core of Azure, providing over 100 exabytes of raw capacity distributed over thousands of storage clusters in datacenters across 70 regions worldwide. Azure Storage provides the persistent storage layer in the cloud, powering millions of Azure virtual machines, holding exabytes of data powering the latest breakthroughs in AI. We are looking to hire a Principal Software Engineering Manager to lead the Azure Storage Deployment team, responsible for building the orchestrator for the next generation of Microsoft’s Azure cloud storage platform. This platform is a massively scalable, globally distributed system that powers mission critical workloads worldwide. In this role, you will lead engineers tackling some of the hardest problems in large scale distributed systems, while owning the vision, strategy, and execution of a core deployment platform. You will empower teams to innovate, build resilient systems at extreme scale, and deliver reliable, high velocity impact across the globe. In the era of AI driven transformation, we are seeking a leader who can apply models and automation to dramatically accelerate how ideas turn into meaningful customer outcomes.
Job Responsibility:
Lead the team shaping technical strategy, delivering scalable, safe, reliable, high-performance systems
Partner across product and platform teams to align priorities and deliver customer impacting outcomes, while ensuring operational excellence in reliability, livesite health, efficiency, cost, and latency
Drive strategic clarity and customer focused decision making, leveraging deep technical expertise to identify opportunities
Grow and empower a high performing team, hiring and developing talent while fostering a culture of collaboration, innovation, and accountability
Oversee analytics and data driven insights using AI, integrating key metrics, KPIs, and operational signals to identify trends in quality & velocity in Azure Storage Deployment
Drive strategies to close measurement gaps, prioritize findings effectively, and ensure timely resolution of high impact problems
Evaluate emerging analytical tools and technologies, sharing insights across teams to drive adoption and improve effectiveness
Provide high quality code reviews for engineers, guiding the team to ensure code meets high standards for maintainability, quality, and correctness
Participate in DevOps to provide operational support and to identify pain points and improvements in tooling and automation
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C#, Powershell, or Python OR equivalent experience
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
Nice to have:
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#, Powershell, or Python OR 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#, Powershell, or Python OR equivalent experience
4+ years people management experience
5+ years of experience managing software engineering teams, including responsibility for hiring, performance management, and career development
5+ years of experience designing, building, and operating scalable, highly available cloud services or distributed systems on platforms such as Azure, AWS, GCP, or comparable cloud environments, with production ownership and CI/CD pipeline integration
5+ years of experience building systems with emphasis on reliability, durability, and operational efficiency, including experience with live site operations, incident response, and performance optimization