Software Engineer, Identity Infrastructure Engineering
Role details
Job location
Tech stack
Job description
As a Software Engineer on the Identity Infrastructure Engineering team, you'll be instrumental in creating, deploying, and operating foundational security tools and infrastructure. You will work with a broad range of technologies to support multi-cloud deployments, ensuring that researchers and engineers can safely build, test, and scale transformative AI systems. The role requires a balance of strong technical depth, cross-functional collaboration, and a passion for embedding secure-by-default principles into every layer of our stack., We are looking for Software Engineers interested in coming to tackle challenges in these areas:
- Identity & Access Orchestration: Build and maintain the systems and interfaces that manage user and service identity, ensuring fine-grained access controls are consistent across cloud providers and internal services.
- Multi-Cloud Security: Design architectures and tooling that protect model weights, custom data, and sensitive assets while operating seamlessly in AWS, Azure, GCP, or future cloud environments.
- Automation & Tooling: Develop robust frameworks, APIs, and CLI tools that automate recurring security tasks (like provisioning or rotating credentials), freeing teams to focus on AI innovation without sacrificing security.
In this role, you will:
- Build new features for our IAM platform that seamlessly integrate with evolving cloud services, enabling teams to work efficiently while adhering to security best practices.
- Drive security innovation by designing tools, processes, and architectures that protect data at scale and reinforce a secure development culture across the organization.
- Collaborate cross-functionally with researchers, engineers, and compliance teams to address security requirements for multi-cloud deployments, large-scale model training, and emerging AI use cases.
- Implement and refine access policies that strike the right balance between enabling rapid experimentation and protecting high-value assets, including model weights and customer data.
- Troubleshoot complex identity or access issues across distributed systems, ensuring minimal downtime and a safe environment for AI research and product teams.
Requirements
- A background in building secure systems-from core IAM services to orchestration layers that manage credentials, roles, or policies at scale.
- Proficiency in programming languages such as Python, Go, or similar, with a track record of writing high-quality, maintainable code.
- Experience with modern cloud infrastructure (AWS, Azure, GCP) and familiarity with industry-standard security protocols (OAuth, SAML, OpenID Connect) and authentication/authorization patterns.
- A security-focused mindset, with knowledge of threat modeling, risk assessment, and the ability to embed security features throughout the software development lifecycle.
- Excellent collaboration skills-you work well across diverse technical and non-technical teams, turning broad objectives into actionable solutions.
Benefits & conditions
$230K - $385K medical insurance, dental insurance, vision insurance, parental leave, paid time off, paid holidays, 401(k), retirement plan United States, New York, New York Mar 09, 2026
About the Team
Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI-Applied Engineering, Research, IT, and Security-to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research.
