| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$102,100–$202,200 / yr
Posted
51 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $152k
$86k most similar roles pay here $251k

This role pays less than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $152k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Software Engineer II on Microsoft’s Business & Industry Co-pilot Foundations team, you will contribute to the development and integration of cutting-edge AI technologies into Microsoft products such as Dynamics 365, ensuring they are inclusive, ethical, and impactful. You will design, develop, test, and maintain high-quality, scalable cloud services and APIs using modern software engineering practices like clean architecture and automated testing. Working in a DevOps model, you will collaborate with product managers and stakeholders to translate requirements into technical solutions, own features end-to-end from development through live support, and participate in on-call rotations for service reliability. The role requires experience with Azure, .NET, Docker, Kubernetes, and modern AI frameworks like LangChain and PromptFlow, as well as a commitment to delivering mission-critical services at global scale.

What you'll do

  • Design and develop high-quality, scalable cloud services and APIs for Business & Industry Copilot scenarios.
  • Translate business requirements into technical solutions using modern software engineering practices.
  • Implement features and maintain components from development through deployment in a DevOps model.
  • Monitor and troubleshoot production issues, participating in on-call rotations to ensure service reliability.
  • Use telemetry and logging data to inform decisions and continuously improve services.

What we're looking for

  • 1+ years of experience with generative AI or LLM/ML algorithms.
  • 3+ years of experience developing and deploying live production systems.
  • Proficiency in Microsoft stack technologies, including Azure and .NET.
  • Familiarity with modern LLMOps frameworks such as LangChain and PromptFlow.
  • Experience across the full product lifecycle from ideation to shipping.
  • Expertise in container technologies like Docker and Kubernetes.

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