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Anthropic

Security Engineer, Detection & Response

Anthropic

Published 11 May 2026
San Francisco, CA, USA
300K - 405K USD Annual
Full Time

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Role Highlights

Languages used

Python

Key skills

Computer Science
IAC
Cloud Environments
LLMs
AI
Security
Research
SAAS
EDR
SIEM
Operations
ProtoTyping
Malware
Infrastructure
Startup
Physics
Biology
Interpretability
Multimodal
Security Engineer

Tools, Libraries and Frameworks

Kubernetes
HTTP

Description

The role involves leading cybersecurity incident response efforts across the company's technology stack. The engineer will develop and deploy novel tooling to enhance detection, investigation, and response capabilities. Responsibilities include creating and optimizing security playbooks and workflows to identify potential threats. The individual will review incident response metrics to drive continuous improvement. Additionally, the role requires cross-functional collaboration with various security and engineering teams. The position also involves participation in an on-call rotation.

Required Qualifications and Skills

Candidates must possess at least three years of software engineering experience or five years of detection engineering, incident response, or threat hunting experience. A solid understanding of cloud operations and experience within a SaaS environment are required. Proficiency in security tools such as EDR, SIEM, or SOAR is necessary. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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