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IT Systems Engineer

OpenAI

IT Systems Engineer is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $187k–$266k. Sourced from the company's public Ashby board. First seen 1 hour ago; last confirmed 1 hour ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$187k–$266k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
1 hour ago
Last seen
1 hour ago
Board
Ashby
Apply

About this role

About the Team The IT System Operations Team provides engineering and operational expertise to the OpenAI IT organization.

  • Function: Engineering
  • Seniority: mid
  • gcp
  • terraform

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $187k–$266k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 1 hour ago; last seen 1 hour ago. We are not the employer — apply only on the company ATS.

Posting

About the Team The IT System Operations Team provides engineering and operational expertise to the OpenAI IT organization. The team ensures that employee-facing systems, identity workflows, and enterprise applications operate in a predictable, governed, and continuously reliable manner as the organization scales. The Enterprise Platforms pod runs the SaaS applications employees rely on to communicate, collaborate, and manage work. The pod owns application administration, configuration, integrations, operational controls, and complex escalations. We work across Google Workspace, GCP, Slack, Atlassian and service-management tools, ChatGPT Enterprise, and other enterprise applications, partnering with IT Support, Systems Engineering, Identity & Access Foundations, Security, and business teams. About the Role We’re looking for an IT Systems Engineer to join our Enterprise Platforms pod, with deep experience in platforms such as Google Workspace, Google Cloud Platform (GCP), and Slack, and a focus on application integration, automation, and internal tools. You’ll connect services across the application portfolio, build tools that simplify work for employees and IT, and own improvements from discovery and design through implementation, rollout, and ongoing operation. The goal is to reduce repeated manual administration and build reusable capability for user migrations, M&A integrations, and broader enterprise platform work. Infrastructure as code is central to how you’ll work. You’ll use Terraform, version control, code review, and automated delivery pipelines as the default approach to managing platform configuration and supporting infrastructure. You’ll pair that foundation with APIs and code to build integrations and tools, simplify administrative workflows, and turn recurring issues into durable engineering improvements. You’ll work across collaboration platforms, cloud integrations, service-management workflows, and ChatGPT Enterprise administration. You’ll also participate in on-call and end-user escalations, helping restore service and improve the systems employees depend on. In this role, you will: - Engineer and operate enterprise platforms through infrastructure as code, using Terraform to manage supported configuration, access, and controls. Build reusable modules, bring existing resources under management, and detect and reconcile configuration drift. Use APIs and automation for capabilities outside provider coverage. - Design, build, a

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