OpenAI

Software Engineer, Codex -Enterprise Controls

OpenAI$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in backend software engineering.
  • Proficiency in languages like Python, Go, Rust, Java, or C++.
  • Experience with security measures such as identity and access management.
  • Familiarity with standards like SSO/SAML/OIDC and data governance frameworks.
  • Strong grasp of distributed systems architecture and development.
  • Ability to navigate ambiguous technical requirements in dynamic environments.

Responsibilities

  • Build secure backend systems for protecting enterprise customer data.
  • Design the enterprise control plane for Codex user management.
  • Create governance systems for managing Codex capabilities and enterprise policies.
  • Develop scalable and observable services for compliance and audit logging.
  • Collaborate with cross-functional teams to align product capabilities with enterprise needs.
  • Define standards for 'enterprise-grade' AI software in large organizations.

Benefits

  • Opportunity to work on cutting-edge AI technology.
  • Collaborative work environment with cross-functional teams.
  • Focus on building secure and reliable systems.
  • Exposure to complex enterprise-level challenges.
  • Engagement with high-impact projects that influence customer workflows.
Full Job Description
About the Role

As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows.

This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization.

You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex.

This role owns systems end-to-end: from architecture and implementation to production operations, with a strong bias for security, reliability, quality, and velocity.

In this role, you will:
  • Build backend systems that protect enterprise customer data, including encryption, key management, access controls, data isolation, retention controls, and secure data handling patterns.
  • Design and operate the Codex enterprise control plane, enabling administrators to configure, enforce, and audit how Codex is used across users, teams, projects, and environments.
  • Build policy and governance systems that allow enterprises to enable or disable specific Codex capabilities, define organizational constraints, and safely roll out new AI-powered workflows.
  • Develop reliable, observable, and scalable services across identity, authorization, configuration, audit logging, compliance, and enterprise administration.
  • Partner closely with product, security, infrastructure, GTM, and customer-facing teams to translate complex enterprise requirements into simple, durable product and platform capabilities.
  • Help define what "enterprise-grade" means for AI software engineering systems as Codex becomes a trusted teammate inside the world's largest organizations.

You might thrive in this role if you:
  • Have strong backend software engineering fundamentals and experience building production-grade distributed systems.
  • Are proficient in one or more backend languages such as Python, Go, Rust, Java, or C++.
  • Have experience with security, identity, authorization, encryption, key management, policy systems, or enterprise governance.
  • Understand enterprise foundations such as SSO/SAML/OIDC, SCIM, RBAC, audit logging, compliance controls, and data governance.
  • Enjoy building foundational platform capabilities that unlock many product surfaces and customer workflows.
  • Are comfortable working across ambiguous technical and product requirements, especially in fast-moving 0  1 environments.
  • Care deeply about reliability, security, observability, and customer trust.


About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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