Staff+ Software Security Engineer
San Francisco, CA | New York City, NY | Seattle, WA
Posted 16d ago
Job Location
San Francisco, CA | New York City, NY | Seattle, WA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves owning and contributing to key areas such as identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will have the opportunity to define architecture in largely greenfield work, collaborating closely with various teams to ensure the security and integrity of Anthropic's AI development and deployment processes.
Responsibilities
- Scope, design, and build complex security systems end-to-end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight.
- Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them.
- Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture.
- Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership.
- Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows.
- Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement.
- Architect systems that protect sensitive assets including model weights, customer data, and training datasets.
- Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments.
- Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments.
- Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security.
- Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation.
- Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems.
- Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls.
Requirements
- At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently.
- Bachelor's degree in Computer Science or equivalent industry experience.
- Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++.
- Deep understanding of identity systems, cryptographic primitives, and secrets management.
- Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts.
- Experience leading cross-functional security initiatives and navigating complex organizational dynamics.
- Outstanding communication skills, translating technical concepts effectively across all levels of the organization.
- A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution.
- Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams.
- Passion for AI safety and the role security engineering plays in building trustworthy AI systems.