Microsoft
Customer Experience Engineer
$102K–$219K
Redmond, WA +1 · On-site · Full-time · Posted Oct 30, 2026
- Location
- Redmond, WA
United States - Experience
- 2+ years in technology industry, cloud, technical support, and/or customer experience engineering; 2+ years of customer-facing support experience is preferred.
- Education
- Bachelor's Degree in Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field, or equivalent experience.
About the job
Leads Azure support for strategic sovereign and regulated-environment customers, resolving critical incidents and driving proactive reliability improvements and engineering changes.
What you'll do
- Own customer support cases end-to-end and lead resolution of complex, high-impact Azure incidents, including clear communication and mitigation.
- Analyze root causes and customer environments to prevent repeat incidents and improve resiliency.
- Represent customer needs to Azure engineering teams through product feedback, feature requests, and reusable solutions.
What they ask for
- Bachelor's degree in a listed or related field and 2+ years of technology industry, cloud, technical support, and/or customer experience engineering experience, or equivalent experience.
- Pass the Microsoft Cloud background check upon hire or transfer and every two years thereafter.
- Verify U.S. citizenship as required for work supporting government customers.
Nice to have
- Hands-on expertise in a cloud technology or service area; willingness to develop proficiency in a secondary IaaS or PaaS service area.
- 2+ years of customer-facing support experience; active U.S. Government Secret Security Clearance; experience in government, sovereign, or regulated environments.
Pay
USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)
Tools
Azure, Compute, Storage, Networking, Application Gateway, DNS, ExpressRoute, Virtual Networks
AI focus
The organization uses an AI-first, engineering-led approach and AI-powered automation across detection, diagnosis, and resolution; the role supports this operational approach.
Model-written summary · the original posting is authoritative