Microsoft
Principal Site Reliability Engineering Manager - CTJ -Secret
$143K–$304K
United States · On-site · Principal · Full-time · Posted Sep 15, 2026
- Experience
- 2+ years with a doctorate, 3+ years with a master's, or 5+ years with a bachelor's in the specified technical fields; equivalent experience accepted. Preferred: 7+ years with large-scale cloud or distributed systems; 3+ years of people management.
- Education
- Doctorate, master's, or bachelor's degree in Computer Science, Information Technology, or related field; or equivalent experience.
About the job
Leads a team operating Microsoft Substrate services in regulated environments, driving reliability, incident response, engineering practices, and cross-organizational strategy.
What you'll do
- Develop and coach Site Reliability Engineer ICs while setting team expectations and fostering accountability, learning, and inclusion.
- Own service reliability, incident readiness, recovery, on-call response, disaster recovery exercises, and post-incident improvements.
- Set reliability metrics and influence engineering, security, and compliance practices across teams and services.
What they ask for
- Doctorate in Computer Science, Information Technology, or related field and 2+ years of technical experience in software engineering, network engineering, or systems administration; OR master's degree in a related field and 3+ years; OR bachelor's degree in a related field and 5+ years; OR equivalent experience.
- Must have an active U.S. Government Secret Security Clearance.
- Must pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- U.S. citizenship verification is required.
Nice to have
- 7+ years of technical experience working with large-scale cloud or distributed systems.
- 3+ years of people management experience; experience in regulated, sovereign, or compliance-sensitive environments.
Pay
USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)
Tools
SLOs, SLIs
AI focus
Use AI-assisted techniques to reduce operational toil and improve diagnosability and service health.
Model-written summary · the original posting is authoritative