Drimva

Microsoft

Senior Software Engineer

$120K–$304K

Redmond, WA · On-site · Senior · Full-time · Posted Nov 3, 2026

Experience
4+ years technical engineering experience; preferred alternatives: 6+ years with a Master's Degree, or 8+ 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

Build customer-facing AI deployment and operations capabilities that assess release risk, evaluate applications and agents, detect production issues, and support safe recovery at enterprise scale.

What you'll do

  • Design, build, test, and maintain scalable backend services, APIs, tools, and agentic evaluation systems.
  • Own features from design through production, including release-risk assessment, trust scoring, release gates, and service reliability.
  • Partner across teams, participate in incident response and root-cause analysis, and mentor engineers.

What they ask for

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Nice to have

  • Master's Degree and 6+ years of technical engineering experience, or Bachelor's Degree and 8+ years, or equivalent experience.
  • Experience with Power Platform or Microsoft 365 enterprise development; understanding of modern AI technologies or experience building agentic systems.

Pay

USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary); USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)

Tools

C, C++, C#, Java, JavaScript, Python, Power Platform, Microsoft 365

AI focus

Build AI evaluation and agentic test systems for release readiness, production issue detection, and safe recovery; work with generative AI, foundation models, and multi-agent systems.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 5, 2026 (UTC)