Security Software Engineer, Detection Platform Infrastructure

Anthropic•San Francisco, CA

14h•$320,000 - $405,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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