Principal/Senior Software Engineer, Experimentation Platform - CoreAI

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA · Mountain View, CA
Salary: $119,800–$234,700 / yr
Posted: 99 days ago
Closes: Aug 23, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k

This role $177k

$105k most similar roles pay here $258k

This role pays less than 57% of similar roles. Most pay $161,500–$217,725 — the shaded band above. At the midpoint, this role pays about $177k versus about $190k 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 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

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At a glance

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

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As a senior software engineer on the AI-driven development team, you will independently leverage AI across the SDLC to produce high-quality code while coaching peers on responsible AI practices. Your daily tasks include driving architecture design for scalable, resilient systems, collaborating with cross-functional teams to meet customer requirements, and maintaining live site services through on-call rotations. You will use languages like C++, Java, or Python to build large-scale distributed systems on cloud platforms, ensuring they are secure, performant, and cost-effective. Key responsibilities involve automating processes, improving tooling, conducting code reviews, and implementing observability tools for better system reliability. This role requires a deep understanding of security best practices, A/B testing methodologies, and statistical analysis to continuously improve engineering excellence within the team.

Skills

Python Java JavaScript AWS Azure GCP Kubernetes Terraform CI/CD Docker Prometheus Grafana C C++ C# PostgreSQL MySQL Redis Git Jenkins GitHub Google Cloud Build Azure DevOps A/B testing Statistical analysis AI coding tools Observability tools Logging Metrics Distributed tracing

What you'll do

Lead the adoption of responsible AI-assisted development practices among team members.
Ensure code quality through application of metrics and continuous improvement efforts.
Design and drive architecture for scalable, resilient, and secure product components.
Collaborate with cross-functional teams to incorporate feedback and deliver reliable features.
Maintain live site services on a rotational basis and implement solutions for complex issues.
Conduct incident postmortems and improve troubleshooting guides to reduce future incidents.

What we're looking for

6+ years of technical engineering experience or equivalent education in computer science.
Proficient in programming languages such as C, C++, Java, JavaScript, Python.
Expertise in building and operating large-scale distributed systems on cloud platforms.
Experience designing scalable, reliable, and cost-effective service architectures.
Skilled in using observability tools for diagnosing complex issues and improving reliability.
Proven ability to mentor engineers and drive engineering best practices.

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