Senior Software Engineer, Azure Storage

Microsoft Azure Storage is a highly distributed, massively scalable, and ubiquitously accessible cloud storage platform. Azure storage already runs at Exascale (storing Exabytes of data) and we will scale our designs over the next decade to support Zettascale (storing Zettabytes of data). Within Azure Storage, the xDPU team is focused in bringing up the storage stack on DPU (Data Processing Units) based nodes to provide unmatched performance at lowest cost. We are hiring experienced engineers to join us in the mission of developing and deploying DPU based storage.

As a Senior Software Engineer in Azure Storage, you will design, implement, optimize, and maintain the Azure Storage Stack running on DPU nodes. You will be involved in all phases of the storage lifecycle, design, implementation, test, deployment, and support. This opportunity will allow you to accelerate your career growth, hone your technical leadership skills, and develop deep business acumen.

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/Minimum 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++, Rust
  • OR equivalent experience.
• 4+ years of professional software development experience building scalable, distributed services with C++.
• 3+ years of experience in designing, analyzing, and troubleshooting large-scale distributed systems

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 or 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++, Rust
  • 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++, Rust
  • OR equivalent experience.
• Experience building and deploying scalable Machine Learning (ML) models using frameworks like PyTorch or TensorFlow, with strong proficiency in Python and cloud-based MLOps (preferably Azure).
• Proven ability to collaborate cross-functionally to deliver AI-powered features aligned with responsible AI principles and product goals.
• Experience with live site maintenance and/or customer escalations

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 July, 3 2025.

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• Collaborates with appropriate stakeholders to determine user requirements for a set of features.
• Begins to leverage a variety of feedback channels to incorporate insights into future designs or solution fixes. Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders and executes project plans, release plans, and work items.
• Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered.
• Leverages subject-matter expertise of cross-product features with appropriate stakeholders to drive multiple group's project plans, release plans, and work items.
• Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
• Proactively seeks new knowledge and adapts 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 and shares knowledge with other engineers.