Senior Principal Software Engineer, Growth (CoreAI)

Microsoft

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Work type: On-site
Location: —
Posted: 133 days ago
Closes: Aug 13, 2026

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Similar $191k

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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.

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TL;DR · Senior Principal Software Engineer, Growth (CoreAI)

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As a Growth Engineer at Microsoft's CoreAI team, you will play a pivotal role in driving experimentation and learning velocity across world-class developer products like GitHub Copilot and Visual Studio Code. Your day-to-day responsibilities include designing and shipping growth experiments, building A/B testing frameworks, and collaborating with Product, Data Science, Design, and Research teams to turn hypotheses into actionable learnings. You will also leverage data and telemetry to inform decisions from experiment design to rollout strategy, ensuring that successful patterns are scaled across high-traffic global AI products. The ideal candidate has a strong background in software engineering fundamentals, experience with scalable system design, proficiency in A/B testing, and a commitment to responsible growth practices. This role involves working within an AI-first organization where speed and rigor coexist, aiming to empower developers worldwide by accelerating the adoption of AI technologies at global scale.

Skills

Python JavaScript A/B testing CI/CD Kubernetes AWS Azure Docker PostgreSQL Redis Git GitHub Visual Studio Code Terraform Prometheus Grafana Scalability Performance tuning Experimentation methodologies

What you'll do

Own growth through engineering excellence by designing and shipping experiments across various stages.
Build and evolve A/B testing frameworks and tooling to enhance experimentation quality and confidence.
Partner with Product, Data Science, Design, and Research teams to turn hypotheses into actionable learnings.
Use data and telemetry to guide decisions from experiment design to rollout strategy.
Scale successful growth patterns across high-traffic, global AI products efficiently.
Balance speed and rigor in a fast-paced, AI-first engineering environment.

What we're looking for

2+ years of experience shipping A/B tests end-to-end in production.
4+ years building high-availability features for multi-region systems.
Proficiency in designing scalable, reliable systems supporting rapid iteration.
Experience writing high-quality, maintainable code and owning services live.
Understanding of experimentation quality, including metrics selection and guardrails.
Engineering mindset focused on hypothesis-driven development and iterative learning.

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