IT Systems Engineer

OpenAI•San Francisco, CA

18d•$187,000 - $266,000

About The Position

The IT Systems Engineer will join OpenAI’s Enterprise Platforms pod within the IT System Operations Team. The pod operates the SaaS applications employees use to communicate, collaborate, and manage work, including Google Workspace, Google Cloud Platform (GCP), Slack, Atlassian and service-management tools, ChatGPT Enterprise, and other enterprise applications. The engineer will focus on application integration, automation, and internal tools, owning improvements from discovery and design through implementation, rollout, and ongoing operation. The role uses infrastructure as code as a primary method for managing platform configuration and supporting infrastructure, with Terraform, version control, code review, and automated delivery pipelines. The engineer will combine this foundation with APIs and code to build integrations and tools, streamline administrative workflows, and turn recurring operational issues into durable improvements. The work supports user migrations, M&A integrations, and broader enterprise platform operations. The engineer will also participate in on-call and end-user escalations, helping restore service and improve the systems employees rely on.

Requirements

Experience engineering enterprise platforms at scale, including hands-on configuration, permissions, and troubleshooting, as well as application integrations, API-based automation, and tools used by employees or IT teams.
Experience using AI and agents or agentic automations to improve workflows, applications, and processes, with attention to permissions, reliability, and verification.
Ability to troubleshoot across applications, identity, permissions, provisioning, networking, and APIs, using evidence to isolate problems and restore service.
Strong hands-on Terraform and infrastructure-as-code experience, including reusable modules, state management, resource imports, plan review, and automated validation and deployment.
Ability to write maintainable code and use APIs to extend automation across applications.
Ability to independently own complex systems improvements within a team while supporting operational responsibilities, prioritizing incidents and end-user escalations, communicating clearly, and maintaining service continuity.
Understanding of GCP fundamentals relevant to enterprise applications, including OAuth clients, service accounts, IAM, secrets, and audit logging, and ability to explain tradeoffs to engineering and security specialists.

Nice To Haves

Jira Service Management or Atlassian workflow engineering, automation, and integrations.
ChatGPT Enterprise administration, administrative APIs or Terraform providers, or operational experience with platforms such as Notion and Linear.
Experience implementing and testing collaboration controls, producing audit evidence, and improving platform configuration or monitoring at scale.

Responsibilities

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, detect and reconcile configuration drift, and use APIs and automation for capabilities outside provider coverage.
Design, build, and maintain integrations across enterprise applications and cloud services, owning data flows, API access, OAuth clients, service accounts, error handling, and operational monitoring.
Partner with cloud and security owners on project setup, permissions, credential handling, and technical handoffs.
Build and improve enterprise application integrations and Jira/service-management workflows for IT, Security, and business teams, translating operational needs into maintainable configurations, routing, approvals, and automation.
Develop ChatGPT Enterprise workspace administration using APIs and infrastructure as code, test administrative capabilities, and provide Customer Zero feedback to product teams based on operational needs.
Build reusable internal tools, automation, and autonomous workflows across the enterprise application portfolio, including self-service workflows, administrative utilities, and cross-application processes that support routine operations and user migrations.
Develop tools and workflows using code, APIs, infrastructure as code, and AI or agent workflows, with testing, error handling, logging, documentation, and clear boundaries for privileged actions.
Implement agreed platform controls and identify gaps; validate effective access, sharing, integration, and logging behavior; preserve configuration and test evidence; and document exception requests for the appropriate security and policy owners.
Validate changes through complete employee workflows; plan rollouts with monitoring and rollback; establish support ownership; and measure reliability, reduced manual effort, and fewer repeat escalations.
Participate in the on-call rotation and handle escalations to support end users, troubleshoot issues, and coordinate resolution with the appropriate teams.