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Principal Software Engineer - Storage

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Microsoft Corporation

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Location:
United States , Aliso Viejo

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year

Job Description:

Principal Cloud Engineer-Storage to scale Azure’s Fault Self-Healing and Failure Prediction systems. Own the endtoend technical design and execution of the fault prevention ecosystem, spanning telemetry, ML models, automation, isolation logic, firmware interactions, and repair workflows, operating at hyperscale across millions of nodes.

Job Responsibility:

  • Design and build best-in-class fleet resiliency systems for storage devices at scale
  • Develop scalable live monitoring capabilities, fault detection and repair solutions
  • Design features for SSDs and Storage Accelerator firmware deployment
  • Lead collaboration projects with hardware, firmware and software teams that fault reduction projects
  • Build automation to drive repair efficiency for storage operations in the production fleet
  • Collaborate with suppliers to design reliable, high performance and quality storage devices
  • Analyze data to identify, prototype, and drive the implementation of technical and process improvements to increase the predictability, agility, and quality of Azure systems
  • Actively support Azure service stakeholders.

Requirements:

  • 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, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements is required for this role
  • M.S. Computer or Electrical Engineering
  • 12+ years of SSD firmware engineering development experience
  • 8+ years of NVMe and PCIe experience
  • Deep expertise in SSD virtualization, reliability, fault analysis, and live‑site operations
  • Lead end‑to‑end design decisions across detection, prediction, mitigation, and repair of SSDs in hyper scale environment
  • Design component‑agnostic reliability frameworks that work across different components
  • Proven ability to build automation heavy systems that operate safely at hyperscale.

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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