Microsoft
Software Engineer II - CTJ - Poly
$102K–$219K
Reston, VA +1 · On-site · Full-time · Posted Oct 29, 2026
- Location
- Reston, VA
Redmond, WA - Experience
- 2+ years technical engineering experience with coding; equivalent experience is an alternative to the degree-and-experience requirement.
- Education
- Bachelor's Degree in Computer Science or related technical field, or equivalent experience.
About the job
Build and operate software, services, and deployment automation for Azure AI capabilities in secure, air-gapped and sovereign cloud environments.
What you'll do
- Design, implement, and maintain service features and automation for deploying, validating, and monitoring Azure AI capabilities.
- Own scoped improvements from design through testing and deployment, and collaborate across Azure AI to resolve service dependencies.
- Improve observability, investigate production issues, participate in on-call rotations, and contribute to reviews and technical documentation.
What they ask for
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Active U.S. Government Top Secret Clearance with access to SCI based on an SSBI with Polygraph.
- Meet required Microsoft, customer, and/or government security screening requirements and pass the Microsoft Cloud background check.
- U.S. citizenship, subject to verification.
Nice to have
- Experience developing backend services, APIs, or automation using C#, Python, or another general-purpose programming language.
- Experience with cloud platforms or distributed systems, containers and orchestration, CI/CD, automated testing, or troubleshooting with logs and telemetry.
Pay
USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)
Tools
Azure OpenAI, Microsoft Foundry, Azure Machine Learning, Azure AI Services, C, C++, C#, Python
AI focus
Build and operate Azure AI capabilities and deployment automation in air-gapped and sovereign environments; use approved AI-assisted development tools, including GitHub Copilot, for prototyping, coding, testing, and debugging.
Model-written summary · the original posting is authoritative