New 
Principal Software Engineer
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Oct 18, 2025 | |
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OverviewThe Azure Blob Storage team is focused on building the data foundation that supports artificial intelligence (AI) innovation. We are seeking a Principal Software Engineer to design and develop the next generation of intelligent storage systems built for demanding AI and machine learning (ML) workloads.Computing is evolving rapidly. Large-scale foundation models, generative AI, and real-time inference are changing how data moves, scales, and performs. Azure Blob Storage is advancing beyond traditional storage to become an AI-native platform that meets the scale, throughput, and latency requirements of modern AI. From high-bandwidth training pipelines to low-latency model serving, you will help architect systems that enable innovation at zettabyte scale.As a Principal Software Engineer, you will shape system architecture for AI storage, drive technical innovation across design and operations, address complex engineering challenges at hyperscale, and guide teams in building high-quality solutions. This role offers the opportunity to work on one of the largest storage platforms in partnership with global leaders in AI, designing distributed systems that deliver availability, durability, and performance for AI applications on Microsoft Azure.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesDesign and deliver next-generation distributed storage systems optimized for AI/ML workloads, from training to inferencing.Provide technical leadership across architecture, development, testing, and deployment at hyperscale.Drive innovations in scalability, performance, security, and efficiency to meet the demands of zettabyte-scale storage.Collaborate with cross-functional teams - from AI researchers to cloud infrastructure engineers - to ensure storage meets the needs of cutting-edge AI workloads.Mentor and guide other engineers, fostering a culture of technical excellence, innovation, and collaboration.Continuously evaluate emerging technologies and trends to anticipate the future of AI-native storage. | |