Principal Software Engineer Manager, Windows Validation and Quality Engineering

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Apr 5, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $209k
$127k $291k
below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $169,550–$228,400 — the blue band above. At the midpoint, this role pays about $209k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 634 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 612 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer Manager, Windows Validation and Quality Engineering

The Principal Software Engineer Manager - Windows Validation and Quality Engineering leads the Validation organization within the Windows Servicing Delivery group. This leader defines the strategy to transform existing validation programs into a connected, AI-powered engineering capability. Responsibilities include managing a high-performing engineering team, overseeing a portfolio of validation platforms, and leading vendor-delivered work. The role focuses on modernizing how validation is planned and executed by integrating AI-assisted reasoning, automation, telemetry, and agentic workflows to improve release quality and engineering confidence. Candidates must possess technical expertise in languages such as C, C++, C#, Java, JavaScript, or Python. The work involves solving complex servicing problems by shifting from reactive analysis toward continuous risk intelligence and trusted release decisions within the Windows servicing ecosystem.

What you'll do

  • Define and execute a strategy to transform validation programs into an AI-powered engineering ecosystem.
  • Lead and develop a high-performing engineering team by setting priorities and growing technical capabilities.
  • Drive the development of AI-powered validation agents, automated investigations, and risk assessment systems.
  • Manage the validation portfolio by prioritizing investments, consolidating programs, and unifying coverage metrics.
  • Oversee vendor and contractor-delivered validation work, ensuring quality, scope, and delivery commitments.
  • Partner with cross-functional stakeholders to align validation strategies and reduce duplication across the engineering lifecycle.
  • Establish architecture, reliability, and observability practices for validation platforms and services.
  • Use telemetry and incident learning to continuously improve platform health and engineering confidence.

What we're looking for

  • Bachelor's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
  • Ability to pass the Microsoft Cloud background check upon hire and every two years thereafter.
  • Bachelor's Degree in Computer Science, Software Engineering, or a related technical field and 10+ years of experience in software development, validation, or platform engineering (preferred).
  • 4+ years of people-management experience leading software engineers or multidisciplinary engineering teams responsible for production services or operationally critical programs (preferred).
  • Experience defining technical strategy and leading complex engineering transformations involving architecture, organizational change, and delivery across multiple teams (preferred).
  • Experience designing and operating large-scale software systems, validation platforms, automation frameworks, data pipelines, or telemetry systems (preferred).
  • Experience managing work delivered through vendors, contractors, or external engineering partners, including scope, delivery, and quality (preferred).
  • Experience developing or adopting AI-powered engineering workflows, agentic systems, or automated investigation solutions (preferred).

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