Senior ML Platform Infra Engineer, Kubernetes & Cloud

Roblox; California (MO); On-site; USD 279,000 - 345,000; Full time

Job summary

Roblox is hiring for an Infrastructure Engineer on the ML Platform team to design, scale, and maintain the foundational infrastructure powering our ML ecosystem. You’ll drive tooling and platform capabilities that accelerate ML workflows for data scientists and ML engineers.

The role emphasizes Kubernetes at scale, IaC with Terraform, and hybrid-cloud expertise across AWS/GCP, with a strong focus on reliability, automation, and collaboration across teams.

Qualifications

• 6+ years of professional experience building scalable, reliable platforms.
• Deep experience with Kubernetes at scale and writing custom Kubernetes controllers.
• Strong proficiency with 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.
• 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.
• 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.

Responsibilities

• 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.

Skills

System design

Scalable infrastructure

DevOps mindset

Kubernetes experience

CI/CD

Cloud platforms

Education

Bachelor's degree in Computer Science/Engineering/Data Science or equivalent

Tools

Kubernetes

Terraform

Docker

CI/CD tooling

AWS

GCP

Job description

Roblox is hiring for an Infrastructure Engineer on the ML Platform team to design, scale, and maintain the foundational infrastructure powering our ML ecosystem. You’ll drive tooling and platform capabilities that accelerate ML workflows for data scientists and ML engineers.

The role emphasizes Kubernetes at scale, IaC with Terraform, and hybrid-cloud expertise across AWS/GCP, with a strong focus on reliability, automation, and collaboration across teams.