| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $139,900–$274,800 / yr
Posted: 49 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $207k

$101k most similar roles pay here $293k

This role pays more than 81% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $180k 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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

Most-posted roles

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At a glance

TL;DR · | Microsoft Careers

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As a Principal Software Engineer on the M365 Evaluation Platform Team, you will play a pivotal role in enhancing Microsoft’s AI feedback loop by developing robust tools that support agile and reliable user journeys. Your day-to-day responsibilities include enabling builders to run more evaluations efficiently, providing continuous evaluation capabilities throughout the development lifecycle, and automating tasks to better understand system performance. The ideal candidate possesses extensive experience in building systems for product evaluation and using data-driven approaches to inform engineering decisions. Key skills required include expertise in platform engineering, a focus on scalable infrastructure, and a commitment to user success. This role demands proficiency in technologies such as distributed systems, development platforms, and evaluation frameworks, with an emphasis on delivering well-documented tooling that accelerates learning and innovation for millions of users.

Skills

Python Docker CI/CD M365 Azure PostgreSQL Kubernetes Terraform Prometheus Grafana Git GitHub Swagger/OpenAPI RESTful APIs JSON YAML Linux DevOps Cloud Native Microservices Scalability Reliability

What you'll do

Design and implement tools to enable agile evaluations for AI models.
Develop continuous evaluation capabilities throughout the product lifecycle.
Automate tasks to enhance understanding of system performance metrics.
Build reliable and scalable infrastructure for user success.
Create well-documented tooling to improve debuggability and reduce time-to-launch.

What we're looking for

Extensive experience building systems to evaluate product quality using data-driven approaches.
Proven ability to build reliable and scalable infrastructure for user success.
Comfort with dynamic environments, taking initiative to drive clarity and momentum.
Self-motivated technical leader focused on outcomes, ownership, and accountability.
Experience in platform engineering, including reusable components and well-documented tooling.

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