Senior Software Engineer - Azure Storage

Reposted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Design and build automation platforms, validation systems, telemetry pipelines, performance frameworks, and diagnostic tools for qualifying next-generation Azure Storage hardware. Investigate distributed software, hardware, firmware, networking, and operating-system issues; analyze performance data; improve scalability and reliability; and contribute to technical architecture across Azure Storage infrastructure.
Summary Generated by Built In
Overview

Imagine 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.


Responsibilities
  • Design and develop software services, automation platforms, and engineering systems that enable qualification and onboarding of next-generation Azure Storage hardware and platform technologies
  • Build and enhance large-scale performance measurement, telemetry, and analytics platforms used to validate Azure Storage infrastructure at hyperscale. Design and implement features across Azure Storage services to support new server, SSD, networking, firmware, and operating system innovations
  • Investigate and resolve complex issues spanning distributed systems, cloud services, hardware platforms, firmware, and operating systems. Analyze large-scale performance and reliability datasets to identify bottlenecks and drive improvements in system efficiency, scalability, and availability
  • Develop automation solutions that improve qualification coverage, deployment readiness, operational efficiency, and engineering productivity
  • Drive technical design discussions and contribute to the architecture of software platforms used across the Azure Storage qualification ecosystem. Document system architectures, technical designs, and engineering learnings while effectively communicating complex concepts to technical and non-technical audiences
  • Research and evaluate emerging technologies, tools, and AI-assisted engineering approaches to improve qualification quality and operational excellence

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#, Python, Java, C++ or other object-oriented programming languages
    • OR equivalent experience

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:

  • 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#, Python, Java, C++ or other object-oriented programming languages
    • OR 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#, Python, Java, C++ or other object-oriented programming languages
    • OR equivalent experience
  • 5+ years of experience designing, building, and operating large-scale distributed systems or cloud services
  • Experience with:
    • Designing and implementing scalable software architectures, microservices, REST APIs (Representational State Transfer Application Programming Interface), and distributed systems
    • Troubleshooting complex issues across software, infrastructure, networking, operating systems, and distributed services
    • Cloud platforms such as Azure, AWS, or Google Cloud Platform, as well as familiarity with Azure Storage, distributed databases, Cosmos DB, Kusto, or large-scale data processing systems
    • Modern software development practices, including CI/CD (continuous integration/continuous delivery), source control, code reviews, automated testing, and Agile methodologies
    • Large-scale telemetry, observability, monitoring, or analytics platforms, performance engineering, benchmarking, scalability analysis, or capacity planning
    • Storage systems, SSDs, networking technologies, firmware, operating systems, or datacenter infrastructure
    • Building automation frameworks, diagnostic tools, or validation platforms

#azurecorejobs



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.

Skills Required

  • Bachelor's degree in Computer Science or a related technical field, or equivalent experience
  • 4+ years of technical engineering experience with coding in C#, Python, Java, C++, or other object-oriented programming languages
  • Ability to meet Microsoft, customer, and/or government security screening requirements
  • Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
  • Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience, or equivalent experience
  • Bachelor's degree in Computer Science or a related technical field and 8+ years of technical engineering experience, or equivalent experience
  • 5+ years of experience designing, building, and operating large-scale distributed systems or cloud services
  • Experience designing scalable software architectures, microservices, REST APIs, and distributed systems
  • Experience troubleshooting issues across software, infrastructure, networking, operating systems, and distributed services
  • Experience with Azure, AWS, or Google Cloud Platform; Azure Storage, distributed databases, Cosmos DB, Kusto, or large-scale data processing systems
  • Experience with CI/CD, source control, code reviews, automated testing, and Agile methodologies
  • Experience with telemetry, observability, monitoring, analytics platforms, performance engineering, benchmarking, scalability analysis, or capacity planning
  • Experience with storage systems, SSDs, networking technologies, firmware, operating systems, or datacenter infrastructure
  • Experience building automation frameworks, diagnostic tools, or validation platforms

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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HQ: Redmond, WA
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Year Founded: 1975

What We Do

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