4 days ago
Base Salary
$216k - $270k/yr
Responsibilities
- Design and implement identity infrastructure for secure authentication and authorization across enterprise systems.
- Build authentication capabilities including Single Sign-On, Multi-Factor Authentication, and federated identity solutions.
- Build authorization capabilities using relation-based, attribute-based, and role-based access control.
- Develop identity governance policies supporting security policies, industry regulations, and organizational standards.
- Present technical information and advise teams and stakeholders on identity management and best practices.
Requirements
- 5+ years of full-time engineering experience post-graduation, specializing in infrastructure and identity systems.
- Expertise with IAM controls, Infrastructure as Code using Terraform or Pulumi, and microservice deployment practices.
- Hands-on experience with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale.
- Strong understanding of Zanzibar-based ReBAC models, relationship tuples, and access-control evaluation.
- Knowledge of OAuth 2.0, OIDC, SAML, JWT, and identity-provider solutions such as Entra ID and Okta.
- Extensive software-development experience and deep understanding of distributed systems and public cloud platforms, preferably AWS.
- Demonstrated independent ownership of successful engineering projects.
- Strong communication and collaboration skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Preferred experience securing API access and implementing application-level access controls.
- Preferred multi-cloud infrastructure experience with AWS, Azure, GCP, or other platforms.
- Preferred experience integrating IAM solutions with Java, Python, Node.js, or .NET applications.
- Preferred mentorship or leadership experience supporting junior engineers.
Benefits
- Base salary, equity, and benefits are available for eligible roles.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- The role may be eligible for a commuter stipend.
- This is a full-time position with a listed base salary range for San Francisco, New York, and Seattle.
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.