The Azure Data Lake Storage team is on a mission to build the data foundation that powers the Artificial Intelligence (AI) revolution, and we are looking for engineers to help lead the way. We are seeking a Senior Software Engineer to design and build the next generation of intelligent storage systems purpose-built for the most demanding AI and Machine Learning (ML) workloads in the world. The landscape of computing is shifting. Massive foundation models, generative Artificial Intelligence (AI), and real-time inferencing are redefining how data moves, scales, and performs. Azure Data Lake 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 will 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 leaders in Artificial Intelligence (AI). As a Senior Software Engineer, you will shape the storage system for the next era of AI with a focus on multi-region AI, drive technical innovation across design, development, and operations, tackle complex and high-impact engineering challenges at hyperscale, and collaborate across teams to build high-quality solutions. If you are ready to help define how storage powers AI at global scale, join us and help build the infrastructure that will shape the future. 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.Required Qualifications: <ul><li>Bachelors 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 <ul><li>OR equivalent experience. </li></ul></li><li>4+ years of systems experience in hands-on development of reliable and performant distributed systems.</li><li>3+ year of building scalable system software in C/C++.</li></ul>Other Requirements: <ul><li>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:  <ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. </li></ul></li></ul>Preferred Qualifications:  <ul><li>Bachelors Degree in Computer Science <ul><li>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 </li><li>OR Masters 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 </li><li>OR equivalent experience. </li></ul></li><li>5+ years experience building scalable system software in C or C++, with hands-on experience in scalable infrastructure and fault-tolerant architecture, and delivering production-ready solutions in cloud environments.</li><li>5+ years experience with storage systems in areas such as availability, remote copy, high performance, and durability schemes, and a passion for distributed systems and large-scale storage.</li></ul>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: <a href="https://careers.microsoft.com/us/en/us-corporate-pay" target="_blank">https://careers.microsoft.com/us/en/us-corporate-pay</a>  Microsoft will accept applications for the role until October 30th, 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 <a href="https://careers.microsoft.com/us/en/accommodationrequest" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #azurecorejobs<ul><li>Design, build, maintain and operate services with high traffic, high resiliency with millions of requests across multiple global regions.</li><li>Implement the next generation of enhancements in the Core Azure Blob Storage service.</li><li>Lead technical projects and model the culture of the team.</li><li>Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor systems/products/services for degradation, downtime, or interruptions.</li><li>Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.</li><li>Proficient troubleshooting (debugging) skills and ability to take projects from beginning to end with little direct supervision.</li><li>Teamwork and coordination skills with ability to create clarity from ambiguity.</li></ul>