| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
151 days ago
Closes
Jul 19, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $209k
$123k most similar roles pay here $291k

This role pays more than 79% of similar roles. Most pay $167,100–$208,800 — the shaded band above. At the midpoint, this role pays about $209k versus about $188k for comparable roles.

Based on 239 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 1633 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1454 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Principal Software Engineer on our cutting-edge team at Microsoft Advertising, you will lead the development and implementation of an agentic auto-bidding platform that leverages advanced AI and machine learning to optimize ad auctions in real-time. Your daily responsibilities include collaborating with data scientists and product teams to define requirements for autonomous bidding capabilities, architecting large-scale data validation frameworks, and driving operational excellence through incident management and high-availability practices. You will also develop experimentation frameworks to validate agent behavior before live deployment and mentor engineers to foster a culture of innovation and accountability. The role requires expertise in machine learning operations (MLOps), experience with distributed systems like Apache Spark or Flink, and hands-on knowledge of real-world AI applications, all while contributing to the transformation of digital advertising through intelligent automation at massive scale.

Skills

Python Java Kubernetes AWS Azure CI/CD MLOps Apache Spark Flink Docker Prometheus Grafana PostgreSQL Redis Scalability High-Availability Multi-Agent Systems Reinforcement Learning

What you'll do

  • Define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.
  • Architect and implement the next-generation agentic bidding platform enabling AI agents to optimize bidding strategies.
  • Build large-scale data validation frameworks ensuring correctness and reliability of auction signals.
  • Drive operational excellence and high-availability practices for mission-critical bidding services as DRI.
  • Develop experimentation frameworks to validate agent behavior before live deployment.
  • Proactively adopt new technologies to improve scalability and performance across the bidding stack.
  • Explore emerging AI techniques like multi-agent systems to enhance platform autonomy and intelligence.

What we're looking for

  • 5+ years of experience developing and deploying large-scale distributed systems.
  • Hands-on expertise in machine learning operations (MLOps) including pipeline automation, monitoring, and lifecycle management.
  • Proficiency in building real-world applications using advanced AI techniques.
  • Experience with large-scale streaming platforms like Apache Spark or Flink.
  • Ability to architect and implement agentic bidding platforms for real-time decision-making.
  • Drive operational excellence and high-availability practices for mission-critical services.

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