Senior Software Engineer - Azure Object Storage

The Azure Object Storage team is on a mission to build the data foundation that powers the AI revolution - and we're looking for visionary engineers to help lead the way. We're seeking a Senior Software Engineer to design and build the next generation of intelligent storage systems purpose-built for the most demanding Artificial Intelligence (AI) and Machine Learning (ML) workloads in the world.

The landscape of computing is shifting. Massive foundation models, generative AI, and real-time inferencing are redefining how data moves, scales, and performs. Azure Object Storage is evolving beyond traditional storage to become an AI-native platform - one that seamlessly supports the unique scale, throughput, and latency demands of modern AI. From high-bandwidth training pipelines to ultra-low-latency for model serving and inference, you'll help architect systems that fuel innovation at zettabyte scale.

This is a rare opportunity to work on one of the largest and most ambitious storage platforms on the planet, in close partnership with world leaders in AI. You'll play a key role in designing distributed systems that deliver unmatched availability, durability, and performance - unlocking new possibilities for AI applications running on 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 Artificial Intelligence (AI) and Machine Learning (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.

Qualifications:

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of systems experience in hands-on development of reliable and performant distributed systems.
• 1+ year(s) experience working with distributed systems, large-scale storage, and solving complex systems problems, including storage system internals such as availability, remote replication, durability schemes, and high-performance input/output (I/O).
• 1+ year(s) experience leading technical direction and influencing architecture across teams.

Other Requirements:

• 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 8+ 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Optional but valuable experience in one or more of the following domains:
  • • Database internals
    • Indexing and search techniques
    • Caching and data placement strategies
    • Metadata and namespace management at scale
    • Artificial Intelligence (AI) and Machine Learning (ML).

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft will accept applications and processes offers for these roles until October 27th, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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