Senior Software Engineer at Microsoft

Department: Software Engineering

Compensation

$119,800 – $234,700/yr

Setup: On-site
Location: Redmond, Washington
Type: Full-time
Level: senior
Posted: Aug 5, 2026

Description

Microsoft is hiring a Senior Software Engineer for its Edge Fundamentals Team to improve the quality, performance, reliability, and engineering effectiveness of Microsoft Edge. The role focuses on diagnostics, telemetry, automation, experimentation, AI-powered engineering tools, performance analysis, and developer productivity, with responsibilities spanning software design, implementation, validation, monitoring, technical investigations, and mentoring. Candidates need a bachelor's degree in computer science or a related technical field and at least four years of technical engineering experience with coding in C#, Python, C++, or PowerShell; equivalent experience is also accepted. The role requires Microsoft Cloud background screening and offers a typical U.S. base pay range of USD 119,800 to USD 234,700 per year, with higher ranges for the San Francisco Bay Area and New York City metropolitan areas.

Required Skills

C#
Python
C++
PowerShell
Diagnostics
Telemetry
Automation
Experimentation
AI-assisted engineering

Additional Information

Minimum Education: Bachelor's degree in Computer Science or a related technical field
Required Previous Experiences: At least 4 years of technical engineering experience with coding in C#, Python, C++, or PowerShell
Ability to meet Microsoft, customer, and/or government security screening requirements
Preferred Qualifications: Master's degree in Computer Science or a related technical field
6+ years of technical engineering experience with coding in C#, Python, C++, or PowerShell
Bachelor's degree in Computer Science or a related technical field with 8+ years of technical engineering experience with coding in C#, Python, C++, or PowerShell
Experience designing and shipping high-quality software at scale
Experience with browser technologies, performance engineering, diagnostics, developer productivity, distributed systems, operating systems, or large-scale engineering infrastructure
Experience using telemetry, experimentation, profiling, tracing, or performance analysis to drive engineering decisions
Experience building tools, automation, measurement systems, CI/CD infrastructure, diagnostics platforms, or engineering productivity solutions
Experience using AI-assisted engineering tools to improve software design, implementation, testing, debugging, diagnostics, and developer productivity
Experience building AI-powered workflows, developer experiences, copilots, agents, evaluation systems, or other AI-enabled solutions
Ability to independently drive technical work from ambiguous problem statements through implementation and delivery
Solid collaboration and communication skills with the ability to work effectively across multiple engineering teams

About Microsoft

Microsoft

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