Lead Software Engineer - Java, AI and Kafka
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Microsoft
NewImagine a world with virtually unlimited storage, accessible anytime, anywhere, from any device. A world where individuals, businesses, researchers, and organizations can securely store, access, analyze, and collaborate on data on a global scale. Microsoft Azure Storage is making that vision a reality. Azure Storage is Microsoft's massively scalable, highly distributed, and ubiquitously accessible cloud storage platform, powering critical workloads for customers around the world. As Azure continues its rapid growth, we are building the next generation of storage infrastructure designed to manage Exabytes of data today and scale toward Zettabytes in the future.
The Azure Storage NPI SKU Qualification & Performance team plays a critical role in enabling this growth. Our team develops the software platforms, automation systems, telemetry pipelines, and performance analysis frameworks used to qualify and validate next-generation Azure Storage hardware technologies before they are deployed into production. We work across servers, SSDs (solid state drives), networking components, firmware releases, operating systems, and platform innovations to ensure every Azure Storage SKU meets Microsoft's standards for performance, reliability, scalability, and operational excellence.
As a Senior Software Engineer, you will design and build large-scale automation platforms, data-driven validation systems, performance benchmarking frameworks, and diagnostic tools that accelerate hardware onboarding across one of the world's largest cloud storage platforms. You will collaborate closely with software engineers, hardware architects, service teams, and industry-leading vendors to bring the next generation of Azure infrastructure into production.
This is a Microsoft onsite 3 days a week in Redmond, Washington.
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:
Other Requirements:
Preferred Qualifications:
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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 $160,200 - $261,000 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.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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