Security Engineer, Offensive Security
Anthropic· Security
Hybrid (Remote-friendly, United States; SF / Seattle / NYC / DC)$300k - $320kFull-timePosted 1mo ago
About the role
Security Engineering team focused on safeguarding Anthropic's AI systems, building secure development practices, and translating attack narratives into actionable risk insights for security roadmaps.
Responsibilities
- Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
- Penetration test specific, high value deployments.
- Contribute to AI-assisted security testing tooling and workflows.
- Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
- Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Qualifications
- 5+ years of hands-on experience in red teaming and offensive security operations
- Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
- Track record of discovering novel attack vectors and chaining vulnerabilities creatively
- Experience conducting adversarial simulations against well-defended environments
- Strong engineering skills (Python, Go, or similar)
- Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
- Collaborative approach, working in close collaboration with the blue team
Skills
Required:Red teamingOffensive security toolingPythonCloud security (GCP/AWS/Azure)CI/CD securityWriting findings
Nice to have:GoKubernetes
Benefits
- Competitive compensation
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching
- Lovely office space for collaboration
Last updated Sep 16, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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