Staff + Software Security Engineer, Secure Frameworks

San Francisco, CA | New York City, NY | Seattle, WA · San Francisco · USD 32,000-485,000 / year · 8+ years experience · Hybrid · Posted Oct 5, 2026

At a glance

Experience: 8+ years experience
Workplace: Hybrid
Location: San Francisco, CA | New York City, NY | Seattle, WA · San Francisco
Salary: USD 32,000-485,000 / year · Base salary
Visa sponsorship: Visa sponsorship available

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption.
Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it.

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

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

Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption
Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy
Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement
Maintained or contributed to open-source cryptographic libraries
Designed authorization systems using policy languages or relationship-based models
Familiarity with ML infrastructure (training, inference serving)

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.