Microsoft

Senior Cloud Hardware Storage Engineer

Microsoft$119K — $234K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Bachelor's degree in engineering plus relevant technical experience.
  • 8+ years in production software, distributed services, or automation.
  • Expertise in Python and C#, with experience in cloud-scale data pipelines.
  • Hands-on experience with AI/ML models in production settings.
  • Strong background in automation with safety engineering.
  • Bonus: experience in anomaly detection and data analytics.

Responsibilities

  • Develop Azure's self-healing and failure-prediction systems.
  • Deploy AI agents effectively, ensuring CI/CD safety.
  • Implement automated remediation strategies with caution.
  • Enhance developer experience through SDKs and APIs.
  • Measure and analyze performance metrics for predictive models.

Benefits

  • Comprehensive health and wellness programs.
  • Flexible working arrangements and remote work options.
  • Generous time-off policies, including vacations and holidays.
  • Employee development programs and educational reimbursement.
  • Retirement savings options with company match.
Full Job Description
Responsibilities

What you'll do

  • Build the platform behind Azure's fault self-healing and failure-prediction system with telemetry pipelines, prediction services, decision logic, and automated repair workflows.


  • Ship AI agents to production: prompt and tool design, retrieval over diagnostics data, evaluation harnesses, guardrails, and the CI/CD path that deploys new agent skills safely.


  • Close the loop safely: automated remediation with staged rollout, blast-radius limits, and verification.


  • Own the developer experience: SDKs, APIs, and dashboards that let engineers across the org author and deploy new detection and repair logic themselves.


  • Build and monitor measurements: prediction precision/recall, false-repair rate, action success rate, and regression gates that block a bad model from shipping.


What you'll bring

  • 8+ years building and operating production software, distributed services, data platforms, or large-scale automation.


  • Python and C# (or C++/Rust), plus cloud-scale data pipelines at high volume.


  • AI/ML in production, not just experimentation: agent or model serving, evaluation, versioning and rollback, drift and regression monitoring.


  • LLM application patterns: agent/tool-calling, RAG, structured output and judgment about when an LLM is the wrong answer.


  • A track record of automation that takes real actions on real infrastructure, with the safety engineering that requires.


  • Bonus: anomaly detection on time-series data; Kusto/SQL; server hardware, firmware, or datacenter operations.


Why this role
  • Your impact shows up in fleet availability metrics and customer uptime, quarter over quarter. The AI agents you ship take autonomous action on production infrastructure at a scale very few teams can offer.


Qualifications

Required Qualifications:

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience

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 Engineering, Computer Science, Electrical Engineering, or related field AND 8+ years of firmware or embedded systems engineering experience OR Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 6+ years of firmware or embedded systems engineering experience OR equivalent experience
        • 6+ years developing SSD or storage device firmware, including 4+ years working directly with NVMe and PCIe protocols


        • Demonstrated depth in storage device resiliency and fault analysis - failure mode characterization, error handling and recovery paths, and root-cause investigation of field failures


        • Experience supporting live-site operations for storage at fleet scale, including on-call ownership and production incident resolution


        • Track record of owning end-to-end technical design across the full reliability lifecycle: detection, prediction, mitigation, and repair


        • Proven experience building automation-heavy systems that operate safely at hyperscale, with the guardrails, staged rollout, and blast-radius controls that requires


Hardware 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 $160,200 - $261,000 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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