| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
WA
Salary
$142,800–$274,800 / yr
Posted
8 days ago
Closes
Nov 24, 2026
Nearby
54 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 57% of similar roles. Most pay $177,250–$215,662 — the shaded band above. At the midpoint, this role pays about $209k versus about $196k 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 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Principal Software Engineer at Microsoft’s AI division, you will lead the design and development of distributed data infrastructure and APIs that power adaptive experiences for Copilot. Your day-to-day responsibilities include architecting scalable systems and pipelines for ingesting, processing, and serving personalized signals, designing robust telemetry and experimentation data pipelines, and building real-time personalization engines. You will collaborate closely with privacy, security, and responsible AI teams to ensure the safety and transparency of personalization features while optimizing performance across diverse workloads. This role requires proficiency in backend technologies, familiarity with applied AI challenges, and expertise in cloud infrastructure such as Azure, AWS, or GCP. Ideal candidates possess a strong methodical approach to problem-solving and enjoy building world-class consumer experiences in a fast-paced environment.

Skills

Azure AWS GCP Python Kubernetes Docker CI/CD PostgreSQL Redis MongoDB Apache Kafka GraphQL REST Terraform Prometheus Grafana Git Jenkins Scrum

What you'll do

  • Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.
  • Design robust telemetry, product usage, and experimentation data pipelines.
  • Create data models and APIs enabling Copilot to understand user context and preferences.
  • Build real-time and batch personalization engines adapting Copilot’s behavior dynamically.
  • Ensure privacy, security, transparency, and user control in personalization features.

What we're looking for

  • 4+ years of experience building scalable cloud-based services.
  • Proficiency in designing and maintaining large-scale data systems.
  • Expertise in securing applications and infrastructure on cloud platforms.
  • Strong background in backend technologies and applied AI challenges.
  • Ability to architect solutions that balance risk, velocity, and value.
  • Experience with real-time and batch processing for personalization engines.

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