Senior Platform & ML Infrastructure Engineer

Riot Games; Los Angeles (CA); On-site; USD 162,000 - 227,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

Parental leave

401k with company match

Open PTO

Flexible work schedules

Job summary

Riot Games in Los Angeles is seeking a Senior Platform & Infrastructure Engineer to design, build, and operate core infrastructure and ML platforms for large-scale distributed training and evaluation.

You'll own Kubernetes clusters, multi-node GPU environments, CI/CD pipelines, and IaC, driving reliability, cost efficiency, and operational maturity across cloud environments. Strong Python and networking skills required.

Qualifications

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of software engineering experience, with meaningful infra/platform/SRE work.
• Experience operating distributed systems in production under real load.
• Strong experience with Kubernetes, AWS or GCP, IaC, CI/CD, deployment automation, and production tooling.
• Experience with GPU compute infrastructure, scheduling, multi-node orchestration and long-running training workloads.
• Proficiency in Python and solid understanding of networking, microservices, core infra services, and distributed systems fundamentals.

Responsibilities

• Build and operate Kubernetes, multi-node GPU clusters, and networking infrastructure for distributed ML training and policy evaluation.
• Design infrastructure for running simulation environments at scale for parallel rollouts, data collection, training, and evaluation.
• Build CI/CD, deployment automation, artifact management, and IaC across cloud environments.
• Improve platform reliability, cost efficiency, performance, reproducibility, auditability, and operational maturity.
• Build observability, monitoring, alerting, health indicators, and SLO-aligned dashboards for infra and ML workloads.
• Develop internal APIs, control planes, templates, and developer tooling for distributed training and evaluation workflows.
• Support MLOps workflows including automated training pipelines, model artifact management, experiment tracking, and reproducible ML lifecycle operations.
• Build security and governance controls, manage production incidents, drive root-cause remediation, mentor engineers, and support recruiting for platform roles.

Skills

Python

Distributed systems

Networking

SRE/Platform engineering

Cloud computing

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

AWS

GCP

Infrastructure as Code

CI/CD

Deployment automation

Production tooling

GPU compute infrastructure

Multi-node orchestration

Job description

Riot Games in Los Angeles is seeking a Senior Platform & Infrastructure Engineer to design, build, and operate core infrastructure and ML platforms for large-scale distributed training and evaluation.

You'll own Kubernetes clusters, multi-node GPU environments, CI/CD pipelines, and IaC, driving reliability, cost efficiency, and operational maturity across cloud environments. Strong Python and networking skills required.