Lambda needs to define and deliver its next-generation Identity and Access Management (IAM) platform to power secure, intuitive, and scalable access control for its diverse customer base, including highly technical AI teams.
Requirements
- 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives.
- Deep expertise in modern IAM patterns and technologies: Authentication (OIDC, OAuth2, SAML), Authorization (RBAC, ABAC, fine-grained permissions), MFA and advanced authentication factors, SCIM and identity lifecycle management
- Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale.
- Strong architecture and systems design skills for distributed, multi-tenant SaaS environments.
- Proven track record of delivering IAM features in security-sensitive, high-uptime environments.
- Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane).
Responsibilities
- Design and build intuitive, beautiful web interfaces for ML/AI cloud users
- Integrate top-tier tooling, workflows, and models from the AI space
- Own features end-to-end—from design to deployment to monitoring
- Design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model.
- Lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services.
Other
- This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
- Strong academic background (EECS, Math, Software Engineering, Physics)
- Leadership or mentorship experience
- You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.
- Equal Opportunity Employer
