Software Engineer, Infrastructure Security
OpenAI
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will:
- Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD.
- Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection.
- Develop automation and detection tooling to continuously identify and mitigate risks in large-scale cloud and on-prem environments.
- Drive high-impact initiatives such as line-speed encryption, machine identity, and network isolation, continuously raising the security bar for emerging AI workloads.
- Lead or participate in design reviews and threat models to ensure new systems launch with strong security foundations and operational excellence.
- Strong software engineering skills in languages such as Python, Go, Rust, or C/C++, with a track record of shipping and operating high-reliability distributed services.
- Experience building or operating critical security infrastructure (e.g., auth services, service-to-service proxies, certificate or key-management systems).
- Deep understanding of security principles, best practices, and common vulnerabilities.
- Expertise in securing large-scale cloud platforms (e.g., Azure, AWS, GCP), including multi-cloud networks and cloud-agnostic system design.
- Familiarity with container and orchestration security (Kubernetes, service meshes) and modern authentication/authorization standards (OIDC, mTLS, SPIFFE/SPIRE).
- A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling.
- A track record of delivering scalable solutions and driving impactful changes across infrastructure in real-world projects.
- Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks.
- Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders.
- Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally.
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