Staff Security Engineer, Container & VM Security

About the Role

At Anthropic, we're building frontier AI systems that require unprecedented levels of security and isolation. We're seeking a Staff Security Engineer specializing in container and VM security to help us design and implement robust sandboxing solutions that protect our AI infrastructure from untrusted workloads while maintaining performance and usability.

In this role, you'll be at the forefront of securing our compute infrastructure, working with cutting-edge virtualization and containerization technologies. You'll architect secure-by-default systems that leverage Linux kernel isolation mechanisms, design threat models for complex distributed systems, and build defenses that can withstand sophisticated attacks. Your work will be critical in ensuring that our systems remain secure as we scale to support increasingly powerful models and diverse use cases.

Responsibilities

• Design and implement secure sandboxing architectures using virtualization (KVM, Xen, Firecracker, Cloud Hypervisor) and container technologies (OCI containers, gVisor, Kata Containers) to isolate untrusted workloads
• Develop deep expertise in Linux kernel isolation mechanisms including namespaces, cgroups, seccomp, capabilities, and LSMs (SELinux / AppArmor) to build defense-in-depth strategies
• Create comprehensive threat models for our sandboxing infrastructure, identifying attack vectors and designing mitigations for container escapes, VM breakouts, and side-channel attacks
• Build and maintain security policies and configurations for multi-tenant cloud environments, ensuring strong isolation between different workloads
• Partner with infrastructure teams to implement secure-by-default patterns for deploying and managing containerized and virtualized workloads at scale
• Develop monitoring and detection capabilities to identify potential security breaches or anomalous behavior within our sandboxed environments
• Lead security reviews of new sandboxing technologies and provide guidance on their adoption within our infrastructure
• Mentor other engineers on secure coding practices and sandboxing best practices
• Contribute to our security incident response efforts, particularly for isolation-related security events
• Collaborate with research teams to understand the unique security requirements of AI workloads and develop appropriate isolation strategies

You may be a good fit if you :

Strong candidates may also have :

Representative projects :

Deadline to apply : None. Applications will be reviewed on a rolling basis.

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