- Robot type
- Drone
- Location
- South San FranciscoCaliforniaUSA
- Job type
- Software
- Posted
- Aug 12, 2026
Senior/Staff Security Engineer - Product Security
Job description
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who…
Job responsibilities
- Own security outcomes for 2-4 named production areas (examples: fleet orchestration APIs, DC orchestration/robotics control plane, telemetry and command channels, developer CI/CD and secrets platforms).
- Deliver measurable risk reduction: define baseline metrics (e.g., mean-time-to-detect, mean-time-to-remediate, number of exploitable findings) and be accountable to improving them by defined targets in 6 and 12 months…
- Design and implement production controls: IAM/least-privilege policies, service-to-service trust, key lifecycle and KMS integrations, runtime telemetry and alerting, secure OTA/update patterns for edge devices, and…
- Threat model and perform secure design reviews for services that operate near the physical fleet, regulated workflows, or partner/customer interfaces;
- Lead vulnerability management end-to-end for owned services: vulnerability triage with exploitability analysis, prioritized remediation plans with engineering partners, staged verification, and verification metrics for…
- Build and harden incident response for product incidents: author playbooks, run tabletop exercises with product and operations, validate logging/auditability so incidents are forensic-ready, and participate in incident…
- Secure AI/agent-assisted development and ops: define allowed copilots and patterns, implement guardrails to prevent secret exposure and unauthorized actions, and add monitoring/auditing for risky agent behaviors where…
- Integrate external pentest and red-team results into durable engineering changes; turn test findings into tracked engineering tickets and measurable closure criteria.
Job requirements
- 8+ years building and operating security controls for large-scale production systems across application and cloud infrastructure.
- Demonstrable hands-on engineering ability: you ship automation or tooling in Python, Go, or similar and can build integrations with AI tools and agentic security bots (not only write policies).
- Deep practical experience with cloud-native stacks and microservices (Kubernetes, containers, IAM, CI/CD, secrets management, logging/telemetry) and with designing least-privilege service-to-service models.
- Prior ownership of vulnerability management, incident response playbooks, and verification processes for production services.
- Direct experience threat‑modeling and securing systems that interface with physical systems, regulated workflows, or third-party partners (embedded, teleoperation, field ops, or healthcare-adjacent data flows).
- Ability to define and track quantitative success metrics (MTTD, MTTR, number of exploitable findings, compliance audit readiness) and be accountable for meeting targets within 6–12 months.
- Experience securing LLM/agentic tools in engineering workflows and mitigating OWASP LLM risks (prompt injection, unsafe plugin/output handling, agentic privilege misuse).
- Background across multiple domains (cloud infra, web services, and embedded/autonomy) and experience building developer-friendly security platforms or paved-road tooling.
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