Software Engineer, Identity Infrastructure Engineering
WFA Digital Insight
The demand for skilled software engineers in AI security has grown exponentially, with a 25% increase in job postings over the past year. Openai is at the forefront of this trend, seeking a talented Software Engineer to join their Identity Infrastructure Engineering team. With a strong focus on security and collaboration, this role offers the chance to work on cutting-edge projects and shape the future of AI. Candidates should be well-versed in secure-by-default principles and have experience with cloud infrastructure. Before applying, consider the importance of multi-cloud security and the ability to work effectively in a hybrid environment.
Job Description
About the Role
As a Software Engineer on the Identity Infrastructure Engineering team at Openai, you will play a crucial role in designing and building the identity and access management solutions that protect the company's model weights, customer data, and critical systems. This team is at the core of Openai's security efforts, ensuring that artificial general intelligence benefits all of humanity. You will work closely with cross-functional teams, including Applied Engineering, Research, IT, and Security, to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research.The role requires a balance of strong technical depth, collaboration, and a passion for embedding secure-by-default principles into every layer of the stack. You will be instrumental in creating, deploying, and operating foundational security tools and infrastructure, working with a broad range of technologies to support multi-cloud deployments. This will ensure that researchers and engineers can safely build, test, and scale transformative AI systems.
Openai uses a hybrid work model, with three days in the office per week, and offers relocation assistance to new employees. The company is committed to fostering a culture of security and innovation, and this role is an opportunity to be at the forefront of that effort.
What You Will Do
- Build new features for the 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.
- Develop robust frameworks, APIs, and CLI tools that automate recurring security tasks, freeing teams to focus on AI innovation without sacrificing 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.
- 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.
What We Are Looking For
- 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, with the ability to work well across diverse technical and non-technical teams, turning broad objectives into actionable solutions.
- Experience with multi-cloud security, including designing and implementing secure architectures that protect data and assets across multiple cloud environments.
- Knowledge of identity and access management principles, including identity orchestration and access control.
Nice to Have
- Experience with automation and tooling, including developing robust frameworks, APIs, and CLI tools that automate recurring security tasks.
- Familiarity with emerging AI technologies and their security implications.
- A strong understanding of security best practices and the ability to apply them in a fast-paced, innovative environment.
Benefits and Perks
- Competitive salary and equity package.
- Opportunity to work on cutting-edge AI projects that have the potential to transform industries and improve lives.
- Collaborative and dynamic work environment with a team of experienced professionals.
- Flexible working hours and remote work options.
- Access to the latest technologies and tools.
- Professional development opportunities, including training and conference attendance.
- Comprehensive health insurance and benefits package.
- Relocation assistance for eligible candidates.
How to Stand Out
- Develop a strong understanding of secure-by-default principles and how to apply them in a fast-paced, innovative environment.
- Showcase your experience with modern cloud infrastructure and industry-standard security protocols.
- Highlight your ability to collaborate effectively with cross-functional teams, including researchers, engineers, and compliance teams.
- Be prepared to discuss your approach to threat modeling, risk assessment, and security feature development.
- Consider developing a personal project that demonstrates your skills in identity and access management, such as building a secure authentication system or designing a secure architecture for a cloud-based application.
- Research Openai's current projects and initiatives, and be prepared to discuss how your skills and experience align with their goals and values.
- Practice your problem-solving skills, including troubleshooting complex identity or access issues, and be prepared to walk the interviewer through your thought process.
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