Overview
Staff Engineer (Security) to secure an AI-driven, multi-tenant execution environment where code is generated and executed continuously.
What you'll do
- Own security across AI-generated applications, agent pipelines, and cloud/runtime environments.
- Define security patterns and guardrails for AI-generated apps, including validation layers.
- Secure multi-tenant cloud and runtime infrastructure executing untrusted AI-generated code.
- Perform end-to-end threat modeling across AI agents, APIs, cloud infrastructure, and runtime.
- Build security detection and defense for abnormal execution and data-exfiltration attempts.
- Secure CI/CD and agent pipelines against supply-chain attacks and insecure code propagation.
- Build reusable security primitives (authn/authz, SDKs, APIs, validation, and rate limiting).
What you'll need
- 8–15+ years of security engineering experience.
- Hands-on experience across application/product security and cloud/infrastructure security.
- Strong coding and automation skills in Python, JavaScript/TypeScript, or backend systems.
- Deep application security fundamentals, including OWASP Top 10, authentication/authorization, API security, injection vulnerabilities, and threat modeling.
- Cloud and infrastructure security experience across AWS/GCP, Kubernetes/containers, IAM/secrets, network security, container security, runtime protection, and multi-tenant environments.
- Experience securing systems that execute untrusted or user-generated code.
- Ability to work across application, infrastructure, and platform layers.
Nice to have
- Experience securing AI/LLM or agentic systems.
- Experience with prompt injection, output validation, and AI-specific threat models.
- Experience with sandboxed or ephemeral execution environments.
- Experience building security systems rather than only identifying vulnerabilities.
Details
Read the full description and apply on the company’s own careers page.
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