Staff SRE – Safeguards ML Infra & Safe Deployments

Society for AI Security; San Francisco (CA); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive compensation

Benefits package

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking an experienced Staff+ Site Reliability Engineer for Safeguards ML Infra in a hybrid SF office. You will own release readiness, deploy safety classifiers, and ensure robust safeguards across platforms including AWS Bedrock and GCP Vertex.

The role emphasizes automation, strong production judgment, and incident response across high-stakes AI systems. Ideal candidates bring 8+ years in SRE/SE, hands-on cloud experience, and proficiency in Python (Rust a plus).

Qualifications

• Experience leading deployment readiness for critical systems.
• Proven ability to automate deployment and rollback processes.
• Strong on-call and incident-response experience in production environments.

Responsibilities

• Launch captain for model releases: configure and verify safeguards.
• Own off-cycle deployment of new safety classifiers and canary rollouts.
• Verify safeguards across all deployment platforms and manage configuration drift.
• Automate manual checks into repeatable pipelines and tooling.
• Participate in on-call and incident rotation for production systems.

Skills

Production change mgmt

Launch captain

Incident response

Cloud platforms AWS/GCP

Python

Rust (plus)

Education

Bachelor’s degree or equivalent

Tools

AWS

GCP

Kubernetes

Job description

Anthropic is seeking an experienced Staff+ Site Reliability Engineer for Safeguards ML Infra in a hybrid SF office. You will own release readiness, deploy safety classifiers, and ensure robust safeguards across platforms including AWS Bedrock and GCP Vertex.

The role emphasizes automation, strong production judgment, and incident response across high-stakes AI systems. Ideal candidates bring 8+ years in SRE/SE, hands-on cloud experience, and proficiency in Python (Rust a plus).