Secure data infrastructure for AI

Highlights

• Own secure data infrastructure for AI training from ingestion to deployment.
• Protect model weights, training data and results from external and insider threats.
• Build detection for anomalous access and safeguard sensitive research data.

What they offer

• Quarterly company-wide retreats
• Monthly wellness benefit
• Budget for multiple visits per year to offices in Berlin, Palo Alto or Switzerland
• Learning & Development budget for conferences, courses and professional growth
• Buddy to help you get settled

Ideal candidate

A senior builder who thrives at the intersection of security and data, with a beginner's mind and passion for protecting critical AI and biological research. Collaborative, proactive and eager to educate others while owning high-stakes systems end to end.

Requirements

• 7+ years of hands-on experience in data engineering, infrastructure security, or software security
• Strong system and software engineering skills with production-quality code in Python, Bash, and Go, Rust, or C++
• Deep experience securing GCP cloud environments including IAM, VPC design, secrets management and workload authentication
• Proven track record designing identity and access management systems with least-privilege enforcement at scale
• Hands-on experience with Kubernetes security including RBAC, namespace isolation and workload identity
• CISSP, OSCP, GWAPT or AI-focused certifications such as GAISC highly desirable
• Availability to work across US and Europe with meetings 8am PT to 7pm CET
• Readiness to travel several times a year for company retreats and business events