Principal Software Engineer - Azure Blob Storage at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

274800.0

Posted On

06 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, Distributed Systems, High-Performance I/O, Scalability, Resilience, AI, Machine Learning, Cloud Infrastructure, Technical Leadership, Data Management, Security

Industry

Software Development

Description

Overview The 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. Responsibilities Design 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. Qualifications Required Qualifications: 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, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other 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. Preferred Qualifications: 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. 3+ years of experience in designing and developing reliable, high-performance distributed systems with a strong focus on scalability and resilience. Demonstrated experience with distributed systems and large-scale storage, including solving complex systems problems and working on storage internals such as availability, remote replication, durability schemes, and high-performance I/O. Practical knowledge in one or more technical domains: database internals, indexing and search techniques, caching and data placement strategies, and metadata/namespace management at scale. Ability to influence technical direction and contribute to architecture decisions across teams, fostering collaboration and innovation. #azurecorejobs Software Engineering IC5 - 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. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design and deliver next-generation distributed storage systems optimized for AI/ML workloads. Provide technical leadership across architecture, development, testing, and deployment at hyperscale.