Software Engineer, Codex Ecosystem & Enterprise

OpenAI OpenAI · AI Frontier · London, United Kingdom · Applied AI

Software Engineer focused on building the ecosystem, enterprise capabilities, and product experiences for Codex, an AI software engineer. This role involves working across the full stack to enable deployment, operation, and trust of Codex in demanding real-world environments, including integrating with enterprise identity and governance systems, and leading customer deployments.

What you'd actually do

  1. Shape the evolution of Codex by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, ecosystem surfaces, and model behavior to make Codex a truly reliable teammate for organizations.
  2. Build the core ecosystem, team, and enterprise primitives that make Codex usable at scale, including plugins, skills, hooks, discovery surfaces, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used.
  3. Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy.
  4. Lead real-world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product, platform, and ecosystem improvements.

Skills

Required

  • backend languages (e.g., Python, Go, Rust)
  • distributed systems concepts
  • reliability
  • observability
  • security
  • cross-cutting platform capabilities
  • services, APIs, end-user product surfaces, and extensibility systems
  • team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls
  • working directly with users/customers
  • 0 -> 1 environments
  • product thinking

Nice to have

  • AI-assisted coding tools

What the JD emphasized

  • production-grade teammate for entire organizations
  • deploy, operate, and trust Codex in increasingly demanding real-world environments
  • enterprise demand is growing just as quickly
  • ecosystem capabilities that unlock new workflows, integrations, and discovery
  • turn messy, real-world team requirements into robust, repeatable, and scalable product and platform capabilities
  • systems end-to-end: from architecture and implementation to production operations
  • make Codex a truly reliable teammate for organizations
  • make Codex usable at scale
  • secure, observable, full-stack systems
  • integrating with enterprise identity and governance systems
  • performant, compliant, and trustworthy
  • Lead real-world deployments and launches
  • working directly with customers
  • messy, real-world feedback into scalable product, platform, and ecosystem improvements
  • strong software engineering fundamentals and experience turning ideas into productionized systems
  • focus on reliability, observability, and security
  • cross-cutting platform capabilities that unlock product velocity
  • working across services, APIs, end-user product surfaces, and extensibility systems
  • team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls
  • working directly with users/customers
  • translate messy, diverse requirements into opinionated implementations that scale across many teams
  • 0 -> 1 environments
  • navigate ambiguity
  • crisp product thinking to technical trade-offs

Other signals

  • building the ecosystem building blocks
  • enterprise capabilities
  • deploy, operate, and trust Codex in increasingly demanding real-world environments
  • plugins, skills, hooks, discovery surfaces, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics