Senior Software Engineer - Azure Blob Storage

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At Microsoft Azure Storage, we're not just building storage solutions - we're architecting for the future of data accessibility. In our world, performance isn't just a metric - it's our obsession. We're pushing the boundaries of what's possible in distributed storage systems, handling exabytes of data today and innovating solutions for zettabyte scale tomorrow. Our mission? To make storage limitless and instantly accessible to empower AI and high-performance computing workloads anywhere in the world.

We're seeking a Senior Software Engineer - Azure Blob Storage to join our team. As we build the next generation of storage for AI to power the largest workloads, we are seeking someone with strong distributed systems expertise who is excited about solving complex performance challenges. This role sits at the intersection of high-performance computing and largest AI workloads on a global scale, where you'll help shape how the world's data is stored, accessed, and managed at an unprecedented scale.

At Microsoft, our mission to empower every person and organization on the planet drives everything we do. We embrace a growth mindset, foster innovation, and collaborate to achieve extraordinary results. Our culture is built on respect, integrity, and accountability, creating an environment where diverse perspectives thrive and drive our success.

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.

• 4+ years of experience in programming for developing products and services in systems and backend, including designing and building large-scale distributed systems and building quality products and scalable distributed services.

• 4+ years of experience in cloud backend development and operations, including performance optimization, reliability, resilience, and scale-out capabilities.

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.

• Experience building distributed systems and large-scale storage, including:

  • Multi-threaded and parallel programming.
  • Cloud or on-premises environments for scalability and reliability.

• Experience in software engineering practices, including:

  • Coding with a solid foundation in data structures and algorithms.
  • Relevant testing, debugging, and analytical skills.

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: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 17th, 2025.

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• Design and implement high-performance distributed storage solutions that handle millions of requests across global regions while maintaining resilience under extreme scale.
• Drive performance optimization initiatives for Core Azure Blob Storage service, conducting system-level profiling and debugging where microsecond improvements create massive impact.
• Spearhead technical direction and mentor team members across all experience levels, championing best practices in distributed systems design.
• Lead incident response efforts with sophisticated debugging and root cause analysis while maintaining strict performance SLAs.
• Transform ambiguous problems into clear technical solutions through effective collaboration and minimal supervision.
• Own and optimize service efficiency through sophisticated performance analysis and cost optimization strategies.
• Guide cross-team initiatives and projects that enhance our storage platform's capabilities and performance.