Microsoft
Software Engineer II- CTJ- POLY
$102K–$219K
Reston, VA +1 · On-site · Full-time · Posted Oct 23, 2026
- Location
- Reston, VA
Redmond, WA - Experience
- 2+ years technical engineering experience with coding; preferred alternatives: 3+ years with a Master's Degree, or 5+ years with a Bachelor's Degree, or equivalent experience.
- Education
- Bachelor's Degree in Computer Science or related technical field, or equivalent experience.
About the job
Develops, deploys, and operates Azure Data product features and services in air-gapped environments for customers in highly secured and regulated industries.
What you'll do
- Builds, tests, reviews, and improves product code while meeting security, privacy, reliability, and compliance requirements.
- Deploys and operates Azure services, monitors live-site health, and participates in rotational on-call support and incident response.
- Collaborates on design, testing, deployment planning, and customer requirements for product features.
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 Sensitive Compartmented Information (SCI), based on a Single Scope Background Investigation (SSBI) with Polygraph.
- Must meet Microsoft, customer, and/or government security screening requirements; pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- U.S. citizenship verification is required.
Nice to have
- Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience coding in the listed languages; OR Bachelor's Degree in the field AND 5+ years such experience; OR equivalent experience.
Pay
USD $102,100 - $202,200 per year (base pay); USD $133,800 - $219,200 per year (base pay)
Tools
Azure Data, C, C++, C#, Java, JavaScript, Python
AI focus
Uses AI tools and practices across the software development lifecycle, reviews AI-generated changes, applies GenAI in coding, and uses AI tools for test automation.
Model-written summary · the original posting is authoritative