This role pays more than
72%
of similar roles. Most pay
$196,060–$242,524
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$219k
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
644 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
As a Principal Software Engineering Manager - GitHub (CoreAI), you will lead a team responsible for the evolution of Sandbox, a platform providing secure, isolated cloud environments for agentic workloads. You will drive technical strategy and execution while managing the engineering roadmap to ensure high reliability, scalability, and security. Day-to-day responsibilities include building and coaching a high-performing team, facilitating cross-team collaboration, and championing telemetry-driven development and automation. The role requires expertise in large-scale distributed systems, multi-tenant compute platforms, containers, virtual machines, microVMs, and workload orchestration. You will solve complex problems regarding security and workload isolation for executing untrusted code while supporting AI workloads like dynamic execution environments and tool use. Required skills include proficiency in C, C++, C#, Java, JavaScript, or Python to build infrastructure that allows agents to run tools and modify files safely.
What does a Software Engineering Manager earn?
Median $224375 from 112 postings across 41 companies.
Drive the engineering roadmap in alignment with product goals and technical investments.
Build and develop a high-performing team through hiring, coaching, and performance management.
Guide the team in making architectural decisions regarding scalability, security, and reliability.
Champion experimentation and telemetry-driven development to enable rapid iteration and data-informed decisions.
Drive engineering excellence through automation, tooling, testing, and standardization across operations.
Own operational excellence practices including SLOs, incident response, and capacity planning.
Resolve technical and organizational challenges that span multiple teams and services.
What we're looking for
Bachelor's Degree in Computer Science or related technical field.
8+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Ability to pass the Microsoft Cloud background check.
Experience designing, building, or operating large-scale distributed systems and cloud-based platforms.
Experience with multi-tenant compute platforms, containers, virtual machines, microVMs, workload orchestration, or similar infrastructure technologies.
Experience with security and workload isolation, including executing untrusted code, network isolation, and secrets management.
Experience building platforms that support AI and agentic workloads, including dynamic execution environments and long-running workloads.
Experience leading complex, cross-functional engineering initiatives and partnering with product and security teams to define technical strategy.
Azure
Python
C++
C#
Java
JavaScript
C
Distributed Systems
Cloud Infrastructure
Machine Learning
DevOps
Software Architecture
Telemetry
High Availability
Generative AI
Machine Learning
Python
JavaScript
C#
.NET
C
C++
Java
React
SDKs
Software Engineering
Scalable Systems
Product Development
Incident Response
Live Site Health
Generative AI
Machine Learning
Distributed Systems
Python
C#
C++
Java
Go
JavaScript
C
Cloud Services
Observability
System Design
Scalability
Security
Automation