Platform Reliability Engineer – Scalable AI Infra

OpenAI

California (MO)

On-site

USD 190,000 - 270,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking experienced reliability engineers to help scale and safeguard our infrastructure at a global level. You will collaborate with researchers, engineers, product managers, and designers to deliver reliable, high‑performing systems for millions of users worldwide.

The role emphasizes building fault‑tolerant designs, implementing SLOs/SLIs, and advancing automation and observability across cloud environments. OpenAI offers relocation assistance for this San Francisco–based position.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
Proven experience as SWE focused on reliability or a similar role in a fast‑paced, rapidly scaling company.
Strong proficiency in cloud infrastructure.
Proficiency in programming languages.
Experience with containerization technologies and container orchestration platforms like Kubernetes.
Knowledge of IaC tools such as Terraform or CloudFormation.
Excellent problem‑solving and troubleshooting skills.
Strong communication and collaboration skills.
Experience with observability tools such as Datadog, Prometheus, Grafana and Splunk.
Experience with microservices architecture and service mesh technologies.
Knowledge of security best practices in cloud environments.

Responsibilities

Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.
Build and maintain the load, chaos and synthetic‑testing software leveraged by development teams to make the systems they design and operate more reliable.
Build and maintain automation tools to streamline repetitive tasks and improve system reliability.
Build and maintain the platform for CPU, storage, GPU, and network lifecycle management to drive efficiency, accountability and dynamic optimization of our resources.
Implement fault‑tolerant and resilient design patterns to minimize service disruptions.
Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.
Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
Participate in an on‑call rotation to respond to critical incidents and ensure 24/7 system availability.