Security Engineer, Offensive Security na Anthropic

Híbrido - San Francisco, CA

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Anthropic’s Security Engineering team protects AI systems, building secure infrastructure, developing security practices, and partnering with product and research teams. The role focuses on offensive security, conducting red/purple team exercises, penetration testing high‑value deployments, and improving AI‑assisted security tooling. Successful candidates bring extensive red‑team experience, expertise in operating systems, cloud, Kubernetes, and CI/CD, strong engineering skills in Python or Go, and the ability to communicate findings to technical and executive audiences. Anthropic offers competitive pay, equity donation matching, generous leave, flexible hours, a collaborative environment, and visa sponsorship.

Salary

USD 300,000 - 320,000

Requirements

Skills

  • 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
  • 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

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

Technologies

PythonGomacOS securityLinux SecurityCloud security (GCP, AWS, Azure)KubernetesCI/CD pipelinesSIEMEDRAI/ML systemsAI‑agentic workflows

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