Software Engineer, Identity Infrastructure Engineering
About The Position
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.
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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
