About the company
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
About the team
Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that secures traffic to internal applications.
Responsibilities
- Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities
- Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls
- Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight
- Build and operate the zero-trust access gateway that fronts Anthropic's internal services
- Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls
- Own cryptographic frameworks and libraries
- Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic
Requirements
- 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently
- Strong programming skills in Go, Rust or Python
- Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control
- Hands-on experience with PKI, X.509, mTLS and workload identity
- Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice
- Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them
- A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams
- A strong sense of developer experience
- Clear communication across all levels of the organization
- Passion for AI safety and the role security engineering plays in building trustworthy AI systems
Conditions
- Location-based hybrid policy: all staff are expected to be in one of our offices at least 25% of the time
- Visa sponsorship available
- Annual salary: $32,000 — $485,000 USD