Senior Cloud Security Engineer - AI Safety

Anthropic Limited; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Job summary

Anthropic is seeking a Security Engineer to help build and protect our AI systems. You will implement identity and secrets management, strengthen cloud controls, and advance secure development practices across multi-cloud and on-prem environments.

You will own problems end-to-end, collaborate with engineers, and contribute to an AI safety-focused security program. The role is based in our San Francisco office with hybrid work options and a commitment to responsible, trustworthy AI.

Qualifications

• Minimum 5 years of software security engineering in production.
• Bachelor's degree in Computer Science or equivalent.
• Strong programming skills in Python or at least one systems language such as Go or Rust.
• Experience contributing to cloud security controls.
• A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix.
• Clear communication skills and the ability to work collaboratively across engineering teams.
• Low ego and high empathy, with a genuine interest in helping teammates succeed.
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems.

Responsibilities

• Build and maintain identity and secrets management across our multi-cloud environments.
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security.
• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments.
• Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement.
• Identify and remediate security gaps through code review, threat modeling, and hands‑on debugging.
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation.

Skills

Python

Go

Rust

Cloud security

RBAC

Ownership mindset

Education

Bachelor's degree in Computer Science or equivalent

Tools

Kubernetes

SAST tooling

Job description

Anthropic is seeking a Security Engineer to help build and protect our AI systems. You will implement identity and secrets management, strengthen cloud controls, and advance secure development practices across multi-cloud and on-prem environments.

You will own problems end-to-end, collaborate with engineers, and contribute to an AI safety-focused security program. The role is based in our San Francisco office with hybrid work options and a commitment to responsible, trustworthy AI.