Software Engineer, Codex for Teams

Backend Engineer · Senior · Full Time

London, UKGBP 120k – 180k9mo ago
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Role

What you'll do.

OpenAI is seeking a Software Engineer for the Codex for Teams division to build AI-powered coding tools that enable team-scale adoption across diverse environments. The role involves developing full-stack services, APIs, enterprise integrations, and platform capabilities for startups to large enterprises. This position requires strong backend engineering skills, experience with enterprise systems (SSO, RBAC, SCIM), and the ability to work directly with customers to translate requirements into scalable products.

Responsibilities

  • Platform Development: Ship fundamental capabilities including analytics dashboards, APIs, compliance surfaces, workspace RBAC, admin controls, and usage/pricing primitives
  • Full-Stack Architecture: Design and build robust services and APIs powering Codex across web, CLI, IDEs, and CI/CD with strong observability and security
  • Team Deployment Systems: Enable standardized team deployments by building configuration packaging and distribution patterns for consistent workspace experiences
  • Enterprise Integration: Integrate with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, RBAC) and build secure, compliant data-access patterns
  • Customer Collaboration: Partner with GTM teams to work hands-on with customers, accelerate adoption, iterate rapidly, and translate feedback into scalable improvements
  • End-to-End Ownership: Own systems from architecture through implementation to production operations with focus on quality and velocity
  • Cross-Team Coordination: Work directly with customers, GTM teams, engineers, and researchers across Codex and OpenAI to deliver integrated solutions

Qualifications

What we look for.

Technical

  • Backend Programming

    Proficiency in one or more backend languages (Python, Go, Rust) with distributed systems experience

  • System Design

    Strong software engineering fundamentals with experience building production systems focusing on performance and user experience

  • Enterprise Systems

    Experience with team/enterprise foundations including SAML/OIDC, SCIM, RBAC, audit logging, and data governance

  • Platform Engineering

    Experience building cross-cutting platform capabilities that unlock product velocity across services and APIs

  • Developer Tools

    Experience with CLI/IDE/SDK development, automation systems, or integration platforms

  • Observability

    Strong focus on reliability, observability, and security in distributed systems

Education

  • Computer Science Degree

    Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred

  • Equivalent Experience

    Equivalent professional experience in software engineering roles accepted in lieu of formal education

Experience

  • Production Systems

    5+ years of experience building and maintaining production-scale software systems

  • Enterprise Software

    3+ years working on enterprise or team-focused software products with complex requirements

  • Customer-Facing Development

    Experience working directly with customers or alongside GTM teams to translate requirements into products

  • 0-to-1 Products

    Proven track record in early-stage environments, navigating ambiguity with strong product thinking

Skills

Required

  • Backend Development

    Expert-level proficiency in Python, Go, or Rust for building scalable backend services

  • Distributed Systems

    Deep understanding of distributed systems architecture, microservices, and scalability patterns

  • API Design

    Experience designing and implementing RESTful APIs and GraphQL endpoints

  • Enterprise Integration

    Hands-on experience with SSO, SAML, OIDC, SCIM, and enterprise identity management

  • Database Systems

    Proficiency with relational and NoSQL databases, data modeling, and query optimization

  • Security Practices

    Strong understanding of security best practices, compliance requirements, and data governance

Preferred

  • AI/ML Systems

    Nice to have

    Experience with AI/ML model deployment, inference systems, and ML infrastructure

  • Developer Tools

    Nice to have

    Background in building CLI tools, IDE extensions, or developer-focused products

  • Cloud Platforms

    Nice to have

    Experience with AWS, GCP, or Azure cloud services and infrastructure management

  • Container Orchestration

    Nice to have

    Kubernetes experience for container orchestration and deployment automation

  • Monitoring & Observability

    Nice to have

    Experience with Prometheus, Grafana, or similar monitoring and alerting systems

  • Enterprise Sales Support

    Nice to have

    Experience working with sales/GTM teams in technical customer engagements

Tech stack

Languages

PythonGoRustJavaScript/TypeScript

Frameworks

FastAPIDjangoReactNext.js

Databases

PostgreSQLRedisMongoDB

Tools

DockerKubernetesAWSGitHub ActionsTerraformPrometheusGrafana

Other

SAML/OIDCSCIMRBACGraphQLgRPCOpenTelemetry

Compensation

Pay and benefits.

Base·GBP 120,000 – 180,000

Equity·Stock options

Benefits

  • Equity Participation

    Significant equity package in one of the world's leading AI companies with substantial growth potential

  • Health Insurance

    Comprehensive medical, dental, and vision coverage for employees and families

  • Flexible Time Off

    Generous PTO policy with flexible vacation and personal time

  • Professional Development

    Learning budget for conferences, courses, and professional growth opportunities

  • Remote Work Support

    Home office stipend and equipment allowance for optimal remote work setup

  • Wellness Benefits

    Mental health support, wellness programs, and fitness membership reimbursement

  • Parental Leave

    Generous parental leave policy for new parents

  • Research Access

    Access to cutting-edge AI research and collaboration with world-class researchers

Process

Interview steps.

  1. 01

    Initial Screening

    30-minute phone/video call with recruiter to discuss background, role fit, and mutual interest

  2. 02

    Technical Phone Screen

    45-minute technical interview covering coding fundamentals, system design concepts, and problem-solving

  3. 03

    System Design Interview

    60-minute deep-dive into distributed systems design, focusing on enterprise-scale platform architecture

  4. 04

    Coding Interview

    90-minute hands-on coding session with focus on backend development, API design, and enterprise integration patterns

  5. 05

    Cross-Functional Interview

    45-minute discussion with product/GTM team members about customer collaboration and requirements translation

  6. 06

    Final Interview

    60-minute conversation with senior leadership about OpenAI's mission, team fit, and long-term career alignment

  7. 07

    Reference Checks

    Professional reference verification and background check completion

Full posting

Original listing.

About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.

The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities.

Codex for Teams builds products and platform capabilities to drive the adoption of Codex in diverse team environments. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate.

About the Role

This role is for a software engineer working on Codex, with a specific focus on enabling team-scale adoption across a wide spectrum of environments, from internal teams at OpenAI to external customers ranging from startups to large enterprises. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse team requirements into products that scale across organizations. The role bridges what teams with Codex’s capabilities, ensuring that they are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.

In this role, you will:

  • Ship fundamental capabilities including analytics dashboards and APIs, compliance and audit surfaces, workspace RBAC and admin controls, managed configuration and constraints, and rate limits, usage, and pricing primitives for teams.

  • Design and build robust, full-stack services and APIs that power Codex across surfaces (web/app, CLI/local, IDEs, CI/CD) with strong observability, reliability, and security.

  • Enable standardized team deployments by building team configuration packaging and distribution patterns that make it easy to roll out consistent experiences across workspaces.

  • Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.

  • Partner with GTM to work hands-on with teams through deep engagements to accelerate adoption, iterate rapidly, and translate real-world feedback into scalable product and platform improvements.

You might thrive in this role if you:

  • Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.

  • Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.

  • Enjoy building cross-cutting platform capabilities that unlock product velocity, and you’re comfortable working across services, APIs, and end-user product surfaces.

  • Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls.

  • Have built developer tools and workflows (CLI/IDE/SDK), automation systems (triggers/scheduling), or integration platforms that connect products to a broader ecosystem of tools.

  • Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams.

  • Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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