Senior Platform Security Engineer

Build and operate the security infrastructure behind an enterprise AI platform. As an early engineer at the intersection of platform and security, you will create secure defaults, automation, and self-service tools that help engineering teams ship reliably and meet enterprise requirements., * Design secure, multi-tenant infrastructure that protects customer data while supporting efficient AI model serving.

• Create secure service templates, libraries, Terraform policies, and automation that make new services production-ready by default.
• Own infrastructure-as-code and GitOps practices, including reusable modules and policy-as-code.
• Build and operate alerting, detection, secrets management, IAM, and automated remediation capabilities integrated with CI/CD and developer workflows.
• Partner with security, infrastructure, and product engineering teams to automate technical controls for SOC 2, ISO 27001, and GDPR requirements.
• Participate in security on-call and improve observability, runbooks, and incident response practices.

Automation, Security Infrastructure, Artificial Intelligence (AI), Customer/Client Research, Information/Data Security (InfoSec), Continuous Integration, Continuous Deployment/Delivery, Product Engineering, ISO (International Organization for Standardization), On Call, * At least 5 years of experience building and operating production infrastructure, with platform or infrastructure engineering experience and exposure to security engineering.

• Strong cloud infrastructure expertise in Google Cloud Platform or AWS, including compute, networking, IAM, and security services.
• Production experience with Terraform or similar infrastructure-as-code tools and Kubernetes, including container security practices.
• Strong coding skills in Python, Go, TypeScript, or another systems-oriented language, and experience building developer-facing tools and automation.
• Familiarity with service mesh, observability, incident response, and GitOps practices.
• Ability to apply AI-assisted development tools to improve engineering workflows.

Base salary: $200,000 to $330,000 annually. Visa sponsorship is available.