Senior Software Engineer - IAM

LambdaSan Francisco, CA
113d

About The Position

Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world. You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to 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.

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).

Nice To Haves

  • Experience designing IAM systems for ML/AI or cloud infrastructure products.
  • Hands-on experience with enterprise onboarding flows.
  • Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure).
  • Contributions to IAM standards or open-source identity projects.
  • Leadership or mentorship experience.
  • Strong academic background (EECS, Math, Software Engineering, Physics).

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

Benefits

  • Health, dental, and vision coverage for you and your dependents
  • Wellness and Commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan that we all actually use
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