O

OpenAI

Builds AI models and the ChatGPT assistant

IT Systems Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$187k - $266k /yrHybrid

About the Job

Requirements

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

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; own 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; translate 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 real 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 supporting routine operations and user migrations; use 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.

Desired Qualifications

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

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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