Principal/Senior Software Engineer, Experimentation Platform

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 2 days ago
Closes: Dec 26, 2026
Nearby: 56 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k

This role $177k

$103k most similar roles pay here $274k

This role pays less than 72% of similar roles. Most pay $175,925–$225,300 — the shaded band above. At the midpoint, this role pays about $177k versus about $201k 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 399 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 379 roles with salary data.

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At a glance

TL;DR · Principal/Senior Software Engineer, Experimentation Platform

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As part of Microsoft’s CoreAI team, you will join the Experimentation Platform (ExP) as a senior software engineer, playing a pivotal role in developing high-scale experimentation infrastructure that accelerates product learning and innovation across Microsoft’s AI ecosystem. Your responsibilities include independently designing and building services for rapid iteration in AI systems, ensuring they are secure, performant, and well-tested while mentoring engineers to adopt responsible AI practices. You will collaborate with cross-functional teams to deliver scalable features, maintain live site operations on a rotational basis, and continuously improve system reliability through automation and observability tools. The ideal candidate has extensive experience in building large-scale distributed systems, expertise in languages like C++, Java, or Python, and familiarity with experimentation methodologies and statistical analysis. This role offers the opportunity to deepen your knowledge of distributed systems and service reliability while contributing to Microsoft’s AI-driven initiatives at scale.

Skills

Python Java JavaScript Azure AWS GCP Kubernetes Docker CI/CD Terraform PostgreSQL Redis Prometheus Grafana Git Jenkins Ansible OAuth REST_APIs GraphQL

What you'll do

Design and build high-scale experimentation services for rapid iteration in AI systems.
Ensure system architecture meets performance, scalability, and resiliency requirements independently.
Collaborate with cross-functional teams to deliver scalable, reliable features with end-to-end testing.
Maintain live site services on a rotational basis and implement solutions to complex issues.
Drive engineering excellence through automation, tooling improvements, and security best practices.

What we're looking for

6+ years of technical engineering experience or equivalent, including coding in C, C++, C#, Java, JavaScript, or Python.
Experience building and operating large-scale distributed systems on cloud platforms like Azure, AWS, or GCP.
Proven ability to design service architectures emphasizing scalability, reliability, fault tolerance, and cost optimization.
Proficiency with observability tools for diagnosing complex issues and improving systemic reliability in production environments.
Strong mentoring skills, including driving code reviews and promoting engineering best practices within a team.

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