Zipline
Senior/Staff Security Engineer - Product Security
South San Francisco, California, USA +1 · Staff · Full-time · Posted Aug 12, 2026
- Location
- South San Francisco, California, USA
South San Francisco, California, United States - Experience
- 8+ years; no stated alternatives.
About the job
Own and improve product security for Zipline’s production services and integrations, reducing risks to fleet operations, safety, data, and regulatory compliance.
What you'll do
- Own security outcomes for 2–4 production areas and implement controls such as least-privilege access, secure service trust, telemetry, and hardened CI/CD.
- Threat-model systems, lead vulnerability management, and strengthen incident response through playbooks, exercises, and verified remediation.
- Secure AI- and agent-assisted development and operations by defining usage patterns, implementing guardrails, and monitoring risky behavior.
What they ask for
- 8+ years building and operating security controls for large-scale production systems across application and cloud infrastructure.
- Hands-on ability to ship automation or tooling in Python, Go, or similar, and build integrations with AI tools and agentic security bots.
- Practical experience with cloud-native stacks and microservices, including Kubernetes, containers, IAM, CI/CD, secrets management, and logging/telemetry.
- Prior ownership of vulnerability management and incident response for production services; experience threat-modeling systems involving physical systems, regulated workflows, or third-party partners.
Nice to have
- Experience securing LLM/agentic tools and mitigating OWASP LLM risks.
- Experience across cloud infrastructure, web services, and embedded/autonomy, or building developer-friendly security platforms.
Tools
Python, Go, Kubernetes, CI/CD, IAM, KMS, OWASP LLM
AI focus
Secure AI- and agent-assisted development and operations by defining allowed tools and patterns, preventing secret exposure and unauthorized actions, monitoring risky agent behavior, and mitigating LLM risks.
Model-written summary · the original posting is authoritative