Auth & Identity Platform Engineer (Scale & Security)

Anthropic; New York (NY); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Equity donation matching

Vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking an experienced backend/platform engineer to own the Auth & Identity systems. You will design credentialing for agents, centralize authorization, and drive the identity model for humans, service accounts, and autonomous agents across multi‑region deployments.

You will work with product, security, and infrastructure teams to set technical direction, ensuring reliability, on‑call readiness, and secure by default practices in a rapidly evolving AI platform.

Qualifications

• 8+ years of experience building and operating backend or platform systems at scale.
• Experience with identity, authentication, authorization, or security‑adjacent infrastructure is a plus.
• Familiarity with OAuth 2.0, OIDC, SAML, SCIM, JWTs, and policy engines.
• Ability to design reliable, scalable auth systems and runbooks.

Responsibilities

• Own critical, high‑traffic systems end to end from design through rollout and operation.
• Design credentials for agents and long‑running autonomous workloads.
• Route access decisions through a unified authorization system with low latency and multi‑region resilience.
• Build a first‑class identity model for service accounts and agents.
• Collaborate with product, security, and infra teams to shape technical direction.

Skills

Backend systems

OAuth 2.0

OIDC

SAML

SCIM

JWTs

RBAC

Go

Python

Rust

TypeScript

Education

Bachelor's degree

Tools

Go

Python

Rust

TypeScript

Job description

Anthropic is seeking an experienced backend/platform engineer to own the Auth & Identity systems. You will design credentialing for agents, centralize authorization, and drive the identity model for humans, service accounts, and autonomous agents across multi‑region deployments.

You will work with product, security, and infrastructure teams to set technical direction, ensuring reliability, on‑call readiness, and secure by default practices in a rapidly evolving AI platform.