Salary
💰 $230,000 - $395,000 per year
Tech Stack
AWSAzureCloudGoGoogle Cloud PlatformPythonTerraform
About the role
- We're here to help the smartest minds on the planet build Superintelligence; Lambda builds deep-learning cloud infrastructure
- Help define and deliver Lambda’s next-generation Identity and Access Management platform
- Power secure, intuitive, and scalable access control for customers ranging from early-stage startups to superintelligent AI teams
- 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 Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across Lambda products and services
- 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
Requirements
- 8+ years of backend or platform engineering experience
- 3+ years leading IAM or authentication/authorization initiatives
- 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 (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
- Comfort with IaC (Terraform, Atlantis, Crossplane)
- Nice-to-haves: Experience designing IAM for ML/AI or cloud infrastructure products
- Nice-to-haves: Hands-on experience with enterprise onboarding flows
- Nice-to-haves: Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure)
- Nice-to-haves: Contributions to IAM standards or open-source identity projects
- Nice-to-haves: Leadership or mentorship experience
- Nice-to-haves: Strong academic background (EECS, Math, Software Engineering, Physics)