Microsoft
Sr Cloud Solution Architecture-CTJ-Top Secret/SCI
$106K–$223K
Arlington, VA +1 · On-site · Senior · Full-time · Posted Oct 19, 2026
- Location
- Arlington, VA
Washington, DC - Experience
- 4+ years in the listed technology fields or equivalent experience. Preferred alternatives: Bachelor's degree plus 8+ years; Master's degree plus 6+ years; or equivalent experience.
- Education
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field OR equivalent experience.
About the job
Leads customer-facing cloud architecture engagements for government customers, guiding secure Azure solutions from strategy through implementation and operationalization.
What you'll do
- Advise customer and executive stakeholders, align cloud architecture to business outcomes, and coordinate complex technical initiatives.
- Guide solution deployment, operational readiness, adoption, and optimization while managing risks and removing blockers.
- Support partner and sales teams with technical pre-sales, proofs of concept, partner enablement, and customer implementations.
What they ask for
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field OR equivalent experience.
- 4+ years of experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
- Active U.S. Government Top Secret/SCI Security Clearance.
- Must verify U.S. citizenship and pass the Microsoft Cloud background check.
Nice to have
- 4+ years in a customer-facing role and 4+ years working on technical projects.
- Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
Pay
USD $106,400 - $203,600 per year (base salary); USD $137,600 - $222,600 per year (base salary) for the San Francisco Bay area and New York City metropolitan area.
Tools
Azure, Amazon Web Services, Google
AI focus
Supports responsible AI adoption and AI-enabled cloud solutions; contributes to scalable models for Copilot and AI scenarios.
Model-written summary · the original posting is authoritative