Anthropic

Security Engineer, Offensive Security

Anthropic
hybrid senior full-time $300,000-$320,000 USD Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
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First indexed 18 Apr 2026

Description

We are seeking a highly skilled Security Engineer, Offensive Security to join our team. As a member of our Security Engineering team, you will play a key role in safeguarding our AI systems and maintaining the trust of our users and society at large.

Key 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.

Requirements: 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.

Preferred Qualifications: Prior work at organizations with state actor threat models. Interest in AI safety and how security engineering contributes to responsible AI developments. Background testing AI/ML systems or agentic workflows. Familiarity with detection engineering and SIEM/EDR platforms from the defensive side. Experience with data center security or hardware-based attacks.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/anthropic/jobs/5105509008