Principal Software Engineer

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Mar 15, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 57% of similar roles. Most pay $180,375–$231,000 — the shaded band above. At the midpoint, this role pays about $209k versus about $206k 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 644 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 624 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Principal Software Engineer

As a Principal Software Engineer, you will lead through influence to define and evolve the end-to-end architecture for complex, AI-enabled customer experience capabilities. You will be responsible for high-level technical strategy, managing trade-offs between scale, latency, security, and cost while ensuring durable outcomes. Your daily work involves building critical platform components, producing production code, and resolving complex design or performance challenges within distributed systems. You will provide leadership for applied AI systems, including model selection, evaluation, and lifecycle management. The role requires expertise in Azure, containers, WebSockets, gRPC, and GitHub-based CI/CD workflows. You will utilize tools like GitHub Copilot and Claude to drive rapid prototyping and debugging. Key technical requirements include proficiency in C, C++, C#, Java, JavaScript, or Python while solving problems related to audio streaming and media-processing workflows.

What does a Software Engineer earn?

Median $196500 from 2013 postings across 147 companies.

See salary data

What you'll do

  • Define and evolve end-to-end architecture for complex, AI-enabled customer experience capabilities.
  • Lead the implementation of critical platform components and produce high-quality production code.
  • Provide technical leadership for applied AI systems including model selection, evaluation, and lifecycle management.
  • Translate business and customer needs into coherent multi-release engineering plans and technical strategies.
  • Ensure quality, security, and compliance by establishing automation, observability, and incident response practices.
  • Resolve high-severity live-site issues and conduct root-cause analysis to implement systemic preventions.
  • Mentor engineers and review architecture and code to raise overall standards for engineering excellence.
  • Manage complex trade-offs regarding scale, latency, security, and cost across distributed systems.

What we're looking for

  • Bachelor's Degree in Computer Science or related technical field and 6+ years of experience (or Master's with 8+ years; or Bachelor's with 12+ years).
  • Experience architecting and delivering large-scale, production cloud services across multiple teams or complex dependencies.
  • Expertise building and operating highly available services on Azure or other major clouds using containers, data platforms, and networking.
  • Experience shipping generative AI, large language models, or agentic capabilities with evaluation, safety, and lifecycle management.
  • Proficiency in coding languages including C, C++, C#, Java, JavaScript, or Python.
  • Expertise in WebSockets, gRPC, GitHub-based CI/CD workflows, and Azure Service Fabric for real-time communication and microservices.
  • Experience designing and troubleshooting scalable, event-driven systems with asynchronous processing and media-processing workflows.
  • Ability to use tools like GitHub Copilot and Claude for implementation, debugging, and rapid prototyping (preferred).

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