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# Senior / Principal Infrastructure Engineer - ML Platform

- **Company:** Roblox
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Salary:** $278,530.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Bootstrap (Software), Cloud Computing, Computer Engineering, Continuous Integration, Machine Learning, Metadata, Azure Machine Learning, DevOps Tools - Open-source, HybridCloud, Infrastructure as Code (IaC), Kubernetes, Information Technology, Roblox, Machine Learning Operations, Terraform, Docker
- **Published:** July 7, 2026
- **Apply:** https://careers.roblox.com/jobs/8027755?gh_jid=8027755

## About the Role

* 6+ years of professional experience and a tool chest of system design experience upon which to draw to build scalable, reliable platforms.
 * Deep experience with Kubernetes (K8s) and cluster management at scale — e.g., managing 100s–1000s of nodes, serving 100k+ QPS, and ideally having experience writing custom Kubernetes controllers.
 * Strong proficiency in Infrastructure as Code (IaC), specifically using Terraform to bootstrap, manage, and automate cloud infrastructure across AWS, GCP, or similar environments.
 * Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field or equivalent practical experience.

You are:

 * Proficient in DevOps tooling such as Docker, Kubernetes, CI/CD systems, and bootstrapping cloud infrastructure (AWS, GCP, etc.)
 * Experienced with the end-to-end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use.
 * An automation advocate: you're passionate about infrastructure-as-code and automating painful manual processes.
 * A reliability nut: you love digging into tricky postmortems and identifying weaknesses in complicated systems.
 * Passionate about supporting internal partners (data scientists and ML Engineers) to meet and understand their needs.

## Description

* Bootstrap and maintain Kubernetes and Cloud infrastructure for ML Platform components--Serving Layer, Metadata Store, Model Registry, and Pipeline Orchestrator.
 * Set technical strategy and oversee development of high scale and reliable infrastructure systems.
 * Propose and implement new platform tooling to improve time to production for MLEs and Data Scientists across the full ML lifecycle.
 * Work on infrastructure projects such as GPU fleet management, hybrid-cloud orchestration, and writing custom Kubernetes controllers and resources.
 * Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices.
 * Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.


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