Security Software Engineer, Anthropic

• 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
• We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

• 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
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Build and optimize ML-powered detection systems, including user behavior analytics (UEBA) and anomaly detection capabilities
• 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
• Develop systems that leverage Claude and other ML models to enhance our detection and response 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