Staff Software Security Engineer

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the role</strong></h2> <p>The Security Engineering team&39;s mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we&39;re developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls</li> <li>Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity</li> <li>Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries</li> <li>Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so</li> <li>Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes secur