Principal Software Engineer, Experimentation Platform - CoreAI

Microsoft

Quick summary

Work type
On-site
Location
Salary
$142,800–$274,800 / yr
Posted
3 days ago
Closes
Dec 21, 2026

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Competitive pay

How this pay compares to similar roles

Similar $200k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 62% of similar roles. Most pay $177,250–$223,700 — the shaded band above. At the midpoint, this role pays about $209k versus about $200k for comparable roles.

Based on 239 similar postings.

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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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TL;DR · Principal Software Engineer, Experimentation Platform - CoreAI

As a Senior Technical Lead on Microsoft’s CoreAI Experimentation Platform (ExP) team, you will drive the architecture and development of high-scale experimentation infrastructure that enables rapid iteration in AI systems and product features. Your day-to-day responsibilities include leading design discussions, evaluating new technologies to solve complex problems, and ensuring system architecture meets performance, scalability, and reliability requirements. You will champion AI tools and practices across the software development lifecycle, mentor senior engineers, and lead cross-team collaboration to ensure proper end-to-end testing before deployment. The role requires expertise in languages such as C++, Java, or Python, extensive experience with cloud platforms like Azure, AWS, and GCP, and a deep understanding of observability tools for diagnosing complex issues. This position offers the opportunity to shape the future of distributed systems architecture at Microsoft scale, addressing critical business challenges in AI development and deployment.

What you'll do

  • Lead the architecture and development of high-scale experimentation platforms to enable rapid iteration in AI systems.
  • Drive technical vision for services that empower engineers to measure impact, validate hypotheses, and advance AI capabilities.
  • Own complex product solutions by driving design discussions and ensuring system architecture meets performance and scalability requirements.
  • Mentor senior engineers on live-site operations, incident retrospectives, and systemic reliability improvements across multiple products.
  • Champion AI tools and practices throughout the software development lifecycle, incorporating appropriate controls over AI-generated assets.

What we're looking for

  • Extensive experience in architecting and operating large-scale distributed systems on cloud platforms.
  • Proven track record of designing highly scalable, resilient service architectures with strong emphasis on fault tolerance and disaster recovery.
  • Deep expertise using observability tools to diagnose complex issues and drive reliability improvements across multiple products.
  • Significant experience mentoring senior engineers and driving technical direction in cross-team environments.
  • Strong background in experimentation platforms, A/B testing at scale, and statistical methodologies for measuring product impact.

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