Senior Software Engineer - Azure Storage

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At Microsoft Azure Storage, we're not just building storage solutions - we're architecting the future of data accessibility. In our world, nanoseconds matter, and 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 architecting solutions for zettabyte scale tomorrow. Our mission? To create a world where infinite storage is not just a dream but a reality, where every piece of human knowledge, creativity, and discovery can be preserved and accessed instantly from anywhere.

We're seeking a Senior Software Engineer - Azure Storage to join our Azure Object Storage team. As we build the next generation of Object Storage capabilities, we need someone who lives and breathes distributed systems and gets excited about solving complex performance challenges. This role sits at the intersection of high-performance computing and artificial intelligence workloads, where you'll help shape how the world's data is stored, accessed, and managed at 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#, Java or Python.
  
  • OR equivalent experience.
• 4+ years programming experience in developing products and services in systems and backend.
• 4+ years of experience in building quality products and scalable distributed services, and designing and building large scale distributed systems.
• 4+ years of experience in cloud backend development and operation, including performance, reliability, resilience, and scale-out.

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.

Additional/Preferred Qualifications:

• Bachelor'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 or Python.
  • OR Master's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java or Python.
  • OR equivalent experience.
• Experience building distributed systems and large-scale storage.
• Experience with multi-threaded/parallel programming.
• Experience in software engineering practices, coding and solid foundation in data structures, algorithms with relevant testing, debugging and analytical skills.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 January 18, 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 (Service Level Agreements)
• 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