Senior Information Security Engineer (Detection, Automation & AI)

We are seeking a Senior Information Security Engineer who views security operations through an engineering lens. In this role, you won't just stare at a pane of glass watching alerts roll in; you will be the architect behind how those alerts are generated, triaged, and automated. You will lead our detection engineering efforts, build robust automation pipelines using SOAR and APIs, and pioneer the integration of Large Language Models (LLMs) to supercharge our incident response and alert-triage workflows. If you love Python, Linux, AWS, and treating security operations as code, this role is for you.

Detection Engineering & SIEM Operations

Design, build, test, and maintain high-fidelity detection logic within our SIEM platform.

Map detections to the MITRE ATT&CK framework to ensure comprehensive visibility across threat vectors.

Continuously tune alerts to minimize false positives and reduce alert fatigue for the operations team.

Automation & Tooling (SOAR & APIs)

Architect and implement automated playbooks within our SOAR platform to drive down Mean Time to Respond (MTTR).

Develop custom Python scripts, tools, and integrations leveraging REST APIs to connect disparate security tools and data sources.

Treat infrastructure and configuration as code, ensuring automated deployments and consistency.

Next-Gen Triage & AI Integration

Design and implement workflows that leverage LLMs (Large Language Models) to automatically analyze, summarize, and add context to incoming security alerts.

Build prompt engineering pipelines or agentic workflows that assist analysts during active investigations, drastically cutting down initial triage time.

Incident Response & Cloud Infrastructure

Act as a senior escalation point for security incidents, guiding the team through containment, eradication, and recovery according to established Incident Response procedures.

Monitor and secure workloads across AWS and on-premise environments with various operating systems.

Conduct post-incident reviews to identify root causes and build automated preventions/detections to ensure the same incident doesn't happen twice.

8+ years of dedicated experience in Information Security, Security Operations, or DevSecOps engineering roles.

Deep, hands-on experience with either Splunk (SPL, Enterprise Security) or ElasticSIEM (ES|QL, KQL, Kibana) for log analysis and detection creation.

Strong proficiency in Python and a proven track record of building security tools, scripts, and automation pipelines via APIs.

Proven experience designing and maintaining automated playbooks in a modern SOAR platform (e.g., Cortex XSOAR, Tines, etc.)

Practical experience (or highly advanced personal projects) utilizing LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock) to ingest, process, or summarize textual data—specifically applied to security logs or triage workflows.

Solid understanding of core AWS security services (GuardDuty, CloudTrail, IAM, VPC Flow Logs).

Strong familiarity with industry-standard Incident Response lifecycles (NIST SP 800-61, SANS PICERL). Experience as an Incident Commander, Incident Handler strongly desired.

Certifications such as CISSP, GCIA, GCIH, or AWS Certified Security - Specialty.

Experience with Infrastructure as Code (IaC) tools like Terraform.

Contributions to the open-source security community (tools, Sigma rules, etc.).

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.