Security Software Engineer, Detection & Response Platform

## About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. ## About the role We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. ## Responsibilities: - Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response - Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure - Architect solutions for storing and efficiently querying large volumes of security-relevant data - Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities - Work closely with security and infrastructure teams to understand requirements and deliver solutions - Mentor engineers and contribute to hiring and growth of the Security team - Participate in on-call shifts ## You may be a good fit if you: - 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines - Track record of building and maintaining internal developer tools or security platforms - Strong understanding of data processing pipelines and experience working with large-scale logging systems - Experience with: - Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) - Infrastructure-as-code (Terraform, CloudFormation) - Query optimization for large datasets - Experience with building stable and scalable services on cloud infrastructure and serverless architectures - Ability to write maintainable and secure code in Python - Experience working with security teams and translating requirements into technical solutions - Ability to lead technical projects with minimal guidance - Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship - Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics - Outstanding communication skills, translating technical concepts effectively across all organizational levels - Demonstrated success in bringing clarity and ownership to ambiguous technical problems - Strong systems thinking with ability to identify and mitigate risks in complex environments ## Strong candidates may also have experience with: - Experience building security tooling from the ground up - Background in implementing security monitoring solutions (SIEM, log aggregation, EDR) - Background in detection engineering or security operations - Experience with: - SOAR platform/automation development - Data lake / Database architecture - API design and internal platform creation - Track record of applying ML/AI to security problems - Experience scaling security operations in a high-growth environment ## Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: Deadline to apply: None. Applications will be reviewed on a rolling basis.