Security Software Engineer, Detection & Response Platform
📍 New York City, United States
📍 San Francisco, United States
📍 Seattle, United States
Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Terraform @ 3
Python @ 3
CI/CD @ 3
Hiring @ 3
Leadership @ 3
Mentoring @ 3
CloudFormation @ 3
API @ 3
AI @ 3
Data Pipelines @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Detection Platform team is building next-generation security analytics infrastructure. In this role you will architect and implement data pipelines that process large volumes of security telemetry, develop ML-powered detection systems, and create tooling that leverages Claude to transform security operations.
Responsibilities
- Build an AI-powered platform covering detection development through incident response
- Design and implement scalable data pipelines for ingesting and processing security telemetry
- Architect storage and efficient query solutions for large volumes of security-relevant data
- Create rapid prototypes and proofs-of-concept for new security tooling and analytics
- Work closely with security and infrastructure teams to understand requirements and deliver solutions
- Mentor engineers, participate in hiring, and contribute to team growth
- Participate in on-call rotations
Requirements
- 7+ years of software engineering experience 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 with large-scale logging systems
- Experience with test-driven development and/or CI/CD; detection-as-code workflows are a plus
- Experience with infrastructure-as-code (Terraform, CloudFormation)
- Experience with query optimization for large datasets
- Experience 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; demonstrated mentorship and cross-functional leadership
- Strong systems thinking and ability to identify and mitigate risks in complex environments
- Willingness to participate in on-call incident response
Preferred / Additional Experience
- Building security tooling from the ground up
- Implementing security monitoring solutions (SIEM, log aggregation, EDR)
- Detection engineering or security operations background
- SOAR platform/automation development
- Data lake and database architecture
- API design and internal platform creation
- Applying ML/AI to security problems
- Experience scaling security operations in high-growth environments
Compensation
- Annual Salary: $320,000 - $405,000 USD
Logistics
- Education: At least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: staff are expected to be in offices at least 25% of the time (some roles may require more)
Visa & Hiring Notes
- Anthropic states they sponsor visas and retain an immigration lawyer to help, though sponsorship may not be possible for every role or candidate
- Applications are reviewed on a rolling basis
Technologies & Skills Mentioned
Python, Terraform, CloudFormation, CI/CD, test-driven development, detection-as-code workflows, SIEM, EDR, SOAR, data pipelines, log aggregation/large-scale logging systems, query optimization for large datasets, cloud infrastructure, serverless architectures, data lake and database architecture, API design, ML/AI, on-call/incident response, mentoring, Claude (Anthropic model).