Microsoft

Principal Software Engineering Manager

Microsoft$142K — $274K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related field with 6+ years of technical engineering experience in relevant programming languages.
  • Master's Degree in Computer Science with 8+ years of engineering experience or equivalent experience with extensive coding background.
  • Proficiency in languages such as C, C++, C#, Java, JavaScript, or Python.
  • Strong understanding of security, compliance, and operational practices in software engineering.
  • Ability to pass Microsoft Cloud background checks as part of security requirements.

Responsibilities

  • Provide technical leadership to align project designs with security, compliance, and performance standards.
  • Establish and promote best practices for testing strategies and AI-driven automation tools.
  • Lead system architecture design while integrating new technologies into existing frameworks.
  • Oversee automation practices for production and deployment to ensure agile methodologies.
  • Drive collaboration for end-to-end product testing and readiness across teams.
  • Enforce security and compliance protocols, including incident response planning and monitoring.
  • Champion continuous learning and team development through mentoring and knowledge sharing.

Benefits

  • Opportunity to work on high-impact projects at the intersection of AI and advertising technology.
  • Access to ongoing training and professional development programs.
  • Flexible work arrangements with a focus on work-life balance.
  • Collaboration within a team that promotes innovation and best engineering practices.
  • Participation in a culture that values security, privacy, and compliance in software development.
Full Job Description
Overview

The Data Management Platform (DMP) in Bing Ads, part of Microsoft AI (MAI) is hiring for a Principal Software Engineering Manager in Redmond, WA or Mountain view, CA. The Data Management Platform (DMP) team is at the heart of user understanding for Microsoft Advertising. We build and operate large-scale data pipelines, build services that operate under low latency and high throughput, provide APIs that enable identity resolution, user segmentation, targeting, and personalization. We are in the midst of transforming from on-prem to Azure across several data centers, and modernizing DMP stack.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities
  • Provide technical leadership on identifying dependencies and incorporating them into design documents, fostering collaboration across teams to align schedules and ensure security, compliance, and performance.
  • Establish best practices for test strategies, including security testing, testable code design, and leveraging AI tools for test automation.
  • Lead overall system architecture design for complex products, evaluating design options, writing design documents, and integrating new technologies while ensuring security, scalability, and compliance.
  • Oversee automation in production and deployment, ensuring continuous integration and deployment infrastructure promotes agility.
  • Drive collaboration with partner teams to ensure end-to-end testing, scalability, and live-site readiness with clear escalation paths.
  • Enforce security best practices, code invariants, security code reviews, deployment gates, and incident response processes including AI safety features.
  • Ensure compliance with security, privacy, safety, and accessibility regulations across solutions with visible audit evidence.
  • Lead development and reuse of software tools to support efficient engineering practices.
  • Champion new coding standards, secure design principles, and adoption of AI tooling to improve engineering productivity.
  • Promote continuous learning and skill development within teams through knowledge sharing and training.
  • Manage project and release planning, resource management, and adherence to security and compliance in project execution.
  • Guide experimentation using feature flags and telemetry to inform product decisions, collaborating across functions.
  • Oversee safe and optimized deployment practices, including rollback plans and dependency monitoring.
  • Drive people management by modeling leadership principles, coaching, caring, and fostering growth.
  • Establish and oversee telemetry, monitoring, and incident response processes to maintain robust product support and security monitoring.
  • Lead live-site operations with standardized incident response, playbook development, on-call improvements, and promoting automated mitigation tools.
  • Provide technical and people leadership in code reviews to ensure quality, test coverage, and adherence to coding standards.
  • Oversee teams in producing maintainable, well-tested, secure, performant code, improving code quality and managing development blockers.
  • Develop best practices in debugging, incident retrospectives, and cost-effective problem resolution, ensuring privacy and security.


Qualifications

Required Qualifications:
  • 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.

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:
  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.


#MicrosoftAI

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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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