Expoint – all jobs in one place
המקום בו המומחים והחברות הטובות ביותר נפגשים
Limitless High-tech career opportunities - Expoint

Microsoft Principal Software Engineering Manager-Azure Storage 
Taiwan, Taoyuan City 
103171613

16.10.2025

As a, you will lead strategic initiatives to optimize fleet health and reduce offline capacity across hyperscale environments. This role is pivotal in driving intelligent solutions that improve reliability, minimize operational overhead, and enable scalable Artificial Intelligence (AI) and Machine Learning (ML) workloads for customers like Open Artificial Intelligence (Open AI), Temu, and others. You’ll partner across engineering, product, and industry teams to modernize data infrastructure, accelerate digital transformation, and deliver measurable impact in sustainability and efficiency.


Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Python
    • OR equivalent experience.
  • 2+ year(s) of deep understanding of server hardware architecture and fleet-level hardware lifecycle management, including diagnostics, telemetry, and failure mitigation.
  • 2+ years of people management experience.
  • 3+ years of technical background in cloud infrastructure, storage systems. Preferably within hyperscale environments.
  • 3+ years of demonstrated ability to plan and execute complex projects, including setting priorities, managing timelines, and delivering results across cross-functional teams.

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:

  • Experience with AI/ML-driven automation for anomaly detection, predictive maintenance, or system optimization.
  • Experience communication and stakeholder management skills, with a proven ability to engage Vice President (VP)-level leadership and influence technical roadmaps.
  • Experience driving engineering excellence, including service quality, reliability, and operational readiness.
  • Demonstrated comfort working across time zones in a remote-friendly, globally distributed team environment.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until October 16, 2025.
Responsibilities
  • Lead and manage a high-performing engineering team focused on scaling and optimizing Azure Storage’s global fleet infrastructure.
  • Drive planning and execution of team deliverables, ensuring alignment with partner teams, business goals, technical strategy, and service-level objectives.
  • Develop and deliver scalable features that reduce offline capacity, improve fleet reliability, and minimize manual operational overhead and risk.
  • Leverage AI/ML to build intelligent automation for anomaly detection, predictive maintenance, and fleet health optimization.
  • Engage with senior leadership, including VP-level stakeholders, to influence roadmap priorities and communicate impact.
  • Guides team to drive multiple group's project plans, release plans, and work items in coordination with appropriate stakeholders (e.g., project managers).
  • Guides team and acts as an expert for Designated Responsible Individual (DRI) and monitors other engineers across product lines, working on call to monitor system/product/service for degradation, downtime, or interruptions.