| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
84 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k 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 Principal Software Engineer on the Employee Self Service Platform Extensibility team at Microsoft, you will lead the development of extensibility features that enable conversational AI agents to interact seamlessly with enterprise systems such as HRIS, ITSM, and facilities platforms. Your day-to-day responsibilities include designing and implementing key features in Microsoft Copilot Studio and BizChat, collaborating with stakeholders to define requirements and enhance designs based on customer feedback, and ensuring compliance with security and privacy standards while applying coding best practices through code reviews and debugging tools. You will work closely with the Microsoft AI team and other partners to evaluate cutting-edge AI technologies and architectures, driving performance improvements across the ESS platform. This role requires deep expertise in cloud-based architectural patterns, full-stack system design, and a strong understanding of responsible AI practices.

What you'll do

  • Design and implement extensibility features for AI agents to interact with enterprise systems.
  • Own the delivery of key extensibility features such as agent publishing and multi-agent architecture improvements.
  • Evaluate and apply advanced AI technologies and architectures when developing solutions.
  • Ensure compliance with security, privacy, safety, and accessibility standards in product development.
  • Identify and drive performance, scalability, and reliability improvements across the ESS platform.
  • Establish and maintain engineering best practices including CI/CD, telemetry, and quality assurance.

What we're looking for

  • 8+ years of experience in designing, building, and managing high-scale full-stack systems.
  • Deep knowledge of cloud-based architectural patterns and best practices.
  • Experience with authentication, microservices, distributed systems, data analytics, and AI services.
  • Ability to drive performance, scalability, and reliability improvements in software platforms.
  • Expertise in applying coding standards and conducting code reviews for maintainable code.
  • Understanding and application of Microsoft’s responsible AI practices.

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