This role pays more than
58%
of similar roles. Most pay
$187,000–$231,000
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$209k
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
686 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 666 roles with salary data.
As a Principal Software Engineering Manager on the M365 platform team, you will lead a team of engineers to enhance AI adoption and agentic dev loops. You will be responsible for guiding complex architecture decisions for high-scale systems while ensuring performance, security, and reliability. Your daily work involves overseeing the development of extensible code, implementing comprehensive validation strategies including automated testing, and managing cross-team dependencies to ensure seamless integration. The role requires expertise in C, C++, C#, Java, JavaScript, or Python, along with experience in Azure services and modern AI technologies like generative AI and foundation models. You will specifically focus on building agentic systems that can reason, plan, and take actions. This role addresses the technical challenges of powering AI agents and apps across a wide range of integrated productivity tools and platforms.
What does a Software Engineering Manager earn?
Median $217650 from 120 postings across 44 companies.
Manage a team of engineers to improve AI adoption and agentic development loops.
Guide complex architecture and design decisions for high-scale systems ensuring performance and security.
Oversee the production of maintainable, secure, and performant code using AI-assisted coding tools.
Lead the creation of comprehensive validation strategies including automated testing and security checks.
Establish engineering best practices for secure design, scalability, and proactive system monitoring.
Coordinate across teams to manage dependencies, resolve conflicts, and align on delivery milestones.
Mentor team members to improve technical skills and maintain high engineering health metrics.
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.
Ability to pass the Microsoft Cloud background check.
Master's Degree in Computer Science or related technical field and 8+ years of technical engineering experience (preferred).
Bachelor's Degree in Computer Science or related technical field and 12+ years of technical engineering experience (preferred).
4+ years of people management experience (preferred).
4+ years of Azure services expertise (preferred).
Understanding of modern AI technologies, including generative AI and foundation models (preferred).
Experience designing agentic systems and managing teams of 10+ engineers (preferred).
Azure
Kubernetes
Infrastructure as Code
Python
C#
Java
C++
JavaScript
Distributed Systems
Microsoft 365
Telemetry
Automated Testing
AI Agents
Provisioning Workflows