Platform Engineer: Large-Scale Model Deployment

OpenAI, Inc.; City Of London; On-site; GBP 90,000 - 150,000; Full time

Job summary

OpenAI is seeking a software engineer to design and operate large-scale production systems that support the model lifecycle. You will build platforms for deployment orchestration, configuration management, and operational automation to enable teams to deploy and manage models with confidence at scale.

This role emphasizes solving complex operational problems and delivering reusable platform capabilities, with a focus on reliability, scalability, and developer experience in a fast-moving

Qualifications

• Five+ years of software engineering experience building production infrastructure.
• Strong programming skills in Go, Python, C++, or Rust.
• Experience designing or operating highly available distributed systems.

Responsibilities

• Build and evolve the platform used to deploy, configure, and manage models across ChatGPT.
• Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.
• Create abstractions and tooling that simplify complex infrastructure and improve the developer experience.
• Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery.
• Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them.
• Build systems that support capacity planning, resource allocation, and infrastructure utilization.
• Partner with research, infrastructure, and product engineering teams to identify common challenges and deliver reusable platform capabilities.
• Shape the technical direction of the model management platform as ChatGPT and its underlying systems continue to evolve.

Skills

Go

Python

C++

Rust

Distributed systems

Platform engineering

SRE

Job description

OpenAI is seeking a software engineer to design and operate large-scale production systems that support the model lifecycle. You will build platforms for deployment orchestration, configuration management, and operational automation to enable teams to deploy and manage models with confidence at scale.

This role emphasizes solving complex operational problems and delivering reusable platform capabilities, with a focus on reliability, scalability, and developer experience in a fast-moving