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Senior Software Engineer - IAM

Roles & Responsibilities

  • 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives in security-sensitive, high-uptime environments
  • Deep expertise in IAM patterns and technologies: authentication (OIDC, OAuth2, SAML), authorization (RBAC, ABAC, fine-grained permissions), MFA, SCIM and identity lifecycle management; experience integrating third-party identity platforms at scale (e.g., Auth0, Okta, WorkOS)
  • Strong architecture and systems design skills for distributed, multi-tenant SaaS; proficient in Python or Go; comfortable with Infrastructure as Code (Terraform, Atlantis, Crossplane)
  • Nice-to-haves: experience designing IAM for ML/AI or cloud infrastructure products; enterprise onboarding flows; multi-cloud/hybrid identity (AWS, GCP, Azure); leadership or mentorship experience; contributions to IAM standards or open-source identity projects

Requirements:

  • Design and build intuitive web interfaces for ML/AI cloud users
  • Lead the design and implementation of Lambda's IAM vision, including Workspaces, enterprise-grade RBAC, MFA enhancements, and unified identity across all Lambda products
  • Integrate top-tier tooling, workflows, and AI/ML models into IAM workflows and security controls
  • Own features end-to-end—from design and deployment to monitoring and maintenance

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.


*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Role Summary

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.

What You’ll Do

  • 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

You (Must-Haves)

  • 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)

Salary Range

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Final Note

You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast

  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Our values are publicly available: https://lambda.ai/careers

  • We offer generous cash & equity compensation

  • 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

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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