Microsoft
Senior Software Engineer - Copilot
$120K–$261K
Mountain View, CA · On-site · Senior · Full-time · Posted Sep 25, 2026
- Experience
- Required: 4+ years technical engineering experience; preferred alternatives: 6+ years with a master's degree, or 8+ years with a bachelor's degree, or equivalent experience.
- Education
- Bachelor's Degree in Computer Science or related technical field, or equivalent experience.
About the job
Develops and operates full-stack customer-facing advertising applications, APIs, services, and data capabilities, improving customer workflows and modernizing underlying systems.
What you'll do
- Owns features across the full stack, from architecture and design through implementation, deployment, and operations.
- Builds secure, reliable, tested software; leads code and design reviews, testing, experimentation, and engineering improvements.
- Supports live services through telemetry, on-call response, incident investigation, and reliability improvements.
What they ask for
- Bachelor's degree in Computer Science or related technical field and 4+ years of technical engineering experience coding in a listed language, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
- Experience designing, building, and operating applications and services on Microsoft Azure or comparable cloud platforms.
- Full-stack experience with React, Node.js, JavaScript, and TypeScript, including micro-frontend architectures and backend APIs/services; AI-assisted engineering experience is also preferred.
Pay
USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)
Tools
C, C++, C#, Java, JavaScript, Python, Microsoft Azure, React
AI focus
Uses AI tools throughout the software development lifecycle, including AI-assisted design, implementation, testing, debugging, operations, and developer productivity; uses AI tools for test automation and ensures AI safety features in relevant production systems.
Model-written summary · the original posting is authoritative