(Senior) Software Engineer, Experimentation Platform

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $102,100–$202,200 / yr
Posted: 2 days ago
Closes: Dec 26, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k

This role $152k

$86k most similar roles pay here $250k

This role pays less than 77% of similar roles. Most pay $155,962–$217,725 — the shaded band above. At the midpoint, this role pays about $152k versus about $187k 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 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 · (Senior) Software Engineer, Experimentation Platform

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As a Senior Software Engineer on the Experimentation Platform (ExP) team within CoreAI at Microsoft, you will design, implement, and maintain high-scale experimentation services that empower engineers and scientists to measure impact and validate hypotheses. Your day-to-day responsibilities include collaborating with partner teams to understand requirements, applying customer feedback, and delivering reliable features using best practices in distributed systems and service reliability. You will leverage AI tools responsibly throughout the software development lifecycle, ensuring correctness and maintainability of changes. Additionally, you will participate in on-call rotations, troubleshoot issues, and contribute to engineering excellence through automation and documentation improvements. This role requires experience with cloud platforms, observability tools, experimentation platforms, and a strong understanding of responsible AI-assisted development workflows.

Skills

Azure AWS GCP Docker Kubernetes Terraform CI/CD Python Go JavaScript PostgreSQL Redis Observability Logging Metrics Tracing A/B Testing Statistical Methodologies Responsible AI AI-Assisted Development SRE DevOps

What you'll do

Design and implement reliable, scalable services for high-scale online experimentation.
Maintain and enhance the Experimentation Platform to support rigorous testing and validation.
Collaborate on building extensible features that ensure diagnosability and production-readiness.
Participate in on-call rotations to troubleshoot live-site issues and improve system reliability.
Contribute to automation, tooling, and documentation for engineering excellence.

What we're looking for

Extensive experience in designing and maintaining distributed systems on cloud platforms like Azure, AWS, or GCP.
Proficiency in using observability tools for diagnosing service issues and enhancing system reliability.
Strong background in experimentation platforms and A/B testing at scale to measure product impact effectively.
Knowledge of statistical methodologies for evaluating product performance and making data-driven decisions.
Experience with AI-assisted development workflows and responsible use of AI coding tools.
Expertise in implementing clean, reliable, testable code using best practices and AI-assisted development techniques.

Hybrid

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