Senior Software Engineer

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
38 days ago
Closes
Nov 16, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 57% of similar roles. Most pay $153,440–$217,725 — the shaded band above. At the midpoint, this role pays about $177k versus about $186k for comparable roles.

Based on 240 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 559 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Senior Software Engineer

As a Senior Software Engineer on the Microsoft Business Operations team, you will design, build, and operate software platforms that enable efficient product launches and management across Microsoft. Your day-to-day involves working closely with engineers, product managers, and stakeholders to deliver reliable, secure, and scalable services, leveraging AI-assisted development tools like GitHub Copilot for disciplined production-grade work. You will drive engineering excellence through architectural contributions, code reviews, and the integration of AI capabilities such as LLMs into production systems, ensuring Responsible AI practices are followed. Additionally, you will enhance developer velocity with automation and tooling, use telemetry to troubleshoot issues, and mentor others to raise the team's technical bar in a global-scale environment.

What you'll do

  • Design and lead architecture discussions for project areas with minimal oversight.
  • Write high-quality, secure, performant code using modern patterns and AI-assisted development tools.
  • Own the test strategy and improve test automation in your area using AI tools.
  • Identify and manage cross-team dependencies to resolve conflicts effectively.
  • Drive deployment automation towards zero-touch operations and strengthen CI/CD processes.
  • Use telemetry to diagnose issues, mitigate risks, and lead retrospectives for continuous improvement.

What we're looking for

  • Hands-on experience using AI-assisted development tools fluently across the SDLC.
  • Proven ability to integrate AI capabilities into production systems with Responsible AI principles.
  • Track record of owning end-to-end feature areas from design through deployment and monitoring.
  • Experience designing and operating large-scale distributed cloud systems, including API and data model design.
  • Strong background in DevOps practices and tooling for zero-touch deployment.
  • Demonstrated experience building observable systems with telemetry and metrics.
  • Expertise in secure software development, threat modeling, and privacy compliance.

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