About the RoleAs an Identity engineer, you'll own the authentication and authorization layer that secures every AI-to-enterprise connection on Runlayer, from the OAuth broker behind our enterprise integrations to how AI agents prove who they are and get auditable access. You'll work directly with customers and help shape the MCP Auth spec that defines how agent identity works industry-wide.
Why You'll Thrive Here- Impact: Own the identity and authentication layer that secures every AI-to-enterprise connection on our platform.
- Excellence: Work alongside engineers who've shipped AI systems at scale.
- Ownership: Shape how MCP & AI agent authentication works, from spec-level decisions to production code.
What You'll Do- Architect and implement authentication and authorization systems for MCP servers (OAuth 2.0, Dynamic Client Registration, token management).
- Build and extend our OAuth broker that handles enterprise identity integrations across dozens of vendors.
- Design identity propagation for AI agents, ensuring secure, auditable access to enterprise systems.
- Integrate with enterprise identity providers (Okta, WorkOS, Azure AD) and SCIM systems.
- Define fine-grained access control policies for MCP tools and resources.
- Collaborate directly with customers like Gusto and Rippling to solve real-world identity challenges.
- Contribute to the MCP Auth spec and help define how agent identity works industry-wide.
What We're Looking For- 5+ years of software engineering experience with significant focus on identity, authentication, or authorization systems.
- Deep experience with OAuth 2.0/OIDC, including DCR, token exchange, and audience restriction.
- Background building or integrating with enterprise identity systems (Okta, WorkOS, Auth0, AWS IAM, GCP IAM).
- Strong fundamentals in distributed systems and API security.
- Experience with Python and TypeScript (our stack is Python/FastAPI backend, TypeScript/React frontend).
- Comfortable working directly with enterprise customers to understand and solve their security requirements.
- Heavy AI user who leverages tools like Claude Code or Cursor to multiply output.
Bonus Qualifications- Experience with Kubernetes-native authorization patterns or service mesh security.
- Background in ML security (differential privacy, LLM security research).
- Prior work on identity for multi-tenant SaaS platforms.
- Familiarity with the MCP specification.
What We OfferWe provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.
- Competitive salary and equity - compensation that reflects your expertise and customer-facing responsibilities.
- Paid time off - paid vacation, paid sick leave, and paid parental leave.
- Professional development - budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
- Top-tier equipment - your choice of laptop and accessories to create your ideal work environment.
- Health benefits - comprehensive health, dental, and vision coverage.
- Customer interaction opportunities - work directly with innovative companies and see the immediate impact of your work.
Not quite the right fit? Reach out to with details about your experience and interests.
