Principal Engineer Manager Azure Storage
@ Microsoft

Redmond, WA
$274,800
On Site
Full Time
Posted 7 hours ago

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Job Details

About the Role

The Principal Engineer Manager Azure Storage at Microsoft is poised to shape the future of AI-scale storage solutions. You will lead a high-impact team focused on enhancing the storage control plane and disks platform to meet the demands of rapidly growing AI-scale workloads. This role involves driving AI-powered innovations, resolving system bottlenecks, optimizing performance and resiliency, and collaborating across organizational boundaries for platform-wide improvements.

Responsibilities

  • Collaborate with stakeholders to determine user requirements.
  • Lead teams to develop design documents and monitor dependencies.
  • Optimize, debug, refactor and reuse code for performance improvements.
  • Coordinate project plans and release plans with multiple groups.
  • Oversee product development and scaling to meet customer requirements.

Qualifications

Required: Bachelor's Degree in Computer Science or related discipline with 6+ years technical engineering experience including coding in C# or equivalent, hands-on cloud and distributed systems experience, and 2+ years as a technical lead.

Preferred: Advanced degree or additional years of experience, 4+ years people management experience, security screening compliance.

Compensation & Application

This role includes a competitive pay range (USD $139,900 - $274,800, with higher ranges in select locations) and benefits. Microsoft accepts applications until October 15th, 2025. Additional benefits and pay information are available at Microsoft Careers.

Key skills/competency

  • Distributed Systems
  • Azure Storage
  • Cloud Architecture
  • Performance Optimization
  • Scalability
  • AI-scale Workloads
  • C#
  • Leadership
  • Software Development
  • Team Collaboration
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How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Research Microsoft culture: Study mission, values, and team insights on LinkedIn.
  • Customize your resume: Tailor technical and leadership experiences.
  • Highlight distributed systems: Emphasize cloud and AI workload expertise.
  • Prepare with examples: Demonstrate successful large-scale projects.

📝 Interview Preparation Advice

Technical Preparation

Review distributed systems architecture.
Practice debugging and performance tuning.
Refresh cloud platforms and API integrations.
Study large-scale data management techniques.

Behavioral Questions

Discuss a time you led a project.
Explain conflict resolution in teams.
Detail experiences with cross-team collaboration.
Share how you handle high-pressure updates.

Frequently Asked Questions