Microsoft
Senior Software Engineer, Ads
$120K–$261K
Mountain View, CA +2 · On-site · Senior · Full-time · Posted Aug 14, 2026
- Location
- Mountain View, CA
Redmond, WA
New York, NY - Experience
- 4+ years required with a bachelor's degree, or equivalent experience. Preferred alternatives include a master's degree and 6+ years, or a bachelor's degree and 8+ years, or equivalent experience. The posting also lists 8+ years building and operating reliable, scalable services and platforms.
- Education
- Bachelor's Degree in Computer Science or related technical field, or equivalent experience.
About the job
Build and operate Bing Ads solutions for publisher onboarding, quality verification, revenue reporting, and delivery of high-quality ads.
What you'll do
- Determine feature requirements with stakeholders, contribute to product-area design documents, and implement code.
- Break larger work into smaller tasks, estimate work, and monitor services on-call, helping restore service for simple problems.
- Improve product availability, reliability, efficiency, observability, and performance through ongoing operational work.
What they ask for
- Bachelor's Degree in Computer Science or related technical field and 4+ years technical engineering experience coding in a listed language, or equivalent experience.
- Experience building and operating reliable, scalable services and platforms; the posting also lists 8+ years as a preferred qualification.
- Experience designing and operating production-scale distributed systems.
- Solid coding skills and knowledge of OOPS, OOAD, design patterns, and Azure cloud platforms, services, and architecture.
Nice to have
- Hands-on experience with Azure DevOps and familiarity with its tools.
- Experience leveraging AI/ML technologies and AI-powered development tools; familiarity with event-driven architectures and Azure cloud.
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, Azure DevOps, Azure
AI focus
Leverage AI/ML technologies and AI-powered development tools to build intelligent applications and improve engineering productivity.
Model-written summary · the original posting is authoritative