Drimva

Microsoft

Software Engineering

$102K–$219K

United States · On-site · Full-time · Posted Nov 3, 2026

Experience
Required: 2+ years of technical engineering experience coding. Preferred alternatives: Bachelor's Degree and 4+ years; OR Master's Degree and 2+ years; OR equivalent experience.
Education
Bachelor's Degree in Computer Science or related technical field; OR equivalent experience.

About the job

Build and operate production software for Microsoft’s datacenter inventory and asset-management workflows, while applying AI and automation to engineering and operational processes.

What you'll do

  • Partner with stakeholders to identify operational problems and own solutions from discovery through rollout and impact measurement.
  • Design and build inventory services, APIs, workflows, and user experiences; ensure quality, security, reliability, and production readiness.
  • Use AI, agents, and automation in engineering and inventory workflows, testing their value through experiments and measurable results.

What they ask for

  • Bachelor's Degree in Computer Science or related technical field and 2+ years of technical engineering experience coding; OR equivalent experience.
  • Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
  • Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
  • Demonstrated ability to communicate clearly, collaborate across teams, and take well-defined features from design through production operation.

Nice to have

  • Experience using generative AI models, coding agents, or engineering platforms to build software.
  • Experience with cloud platforms, distributed systems, developer tooling, identity and security, observability, CI/CD, testing infrastructure, or safe deployment.

Pay

USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)

Tools

C, C++, C#, Java, JavaScript, Python

AI focus

Use coding agents, generative AI, automation, and emerging tools in engineering work; identify and validate opportunities to embed AI, agents, and automation in datacenter inventory workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)