Insider Risk Detection & Automation Engineer

CloudWalk; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

CloudWalk in the United States is seeking a security detections engineer to design and tune detections across Chronicle (YARA-L), Wiz and SentinelOne, and to own the detection lifecycle from rule creation to retirement.

You will investigate insider risk alerts, reduce noise by tuning alerts, automate triage with TypeScript, and build LLM-powered agents to accelerate investigations while partnering with Legal, People, and other Security teams.

Responsibilities

• Build & Tune Detections: Design, implement, and fine-tune rules across Chronicle (YARA-L), Wiz, and SentinelOne, plus our DLP and UEBA surfaces.
• Investigate & Triage: Act as the primary technical investigator for insider risk alerts. Analyze logs, reconstruct user timelines across our entire stack, and determine what happened, why, and what to do about it — including intent behind data movement.
• Reduce the Noise: Continuously tune alerts and detection logic to drive down false positives and keep the signal high.
• Automate Workflows: Write code (TypeScript) to automate repetitive triage tasks and integrate our insider risk tools with our SIEM and SOAR platforms. If you repeat a triage step twice, automate it.
• Weaponize AI for Investigations: Build and tune LLM-powered agents that triage alerts, enrich them with cross-platform context, and reconstruct investigation timelines automatically. Turn repetitive forensic work into autonomous workflows.
• Cross-Functional Operations: Partner directly with Legal, People, and other Security teams to safely and discreetly conduct forensic investigations and coordinate remediation efforts.
• Threat Hunting: Proactively hunt for undetected anomalous behavior, unauthorized shadow IT usage, or risky data handling practices across endpoints and cloud environments.

Job description

CloudWalk in the United States is seeking a security detections engineer to design and tune detections across Chronicle (YARA-L), Wiz and SentinelOne, and to own the detection lifecycle from rule creation to retirement.

You will investigate insider risk alerts, reduce noise by tuning alerts, automate triage with TypeScript, and build LLM-powered agents to accelerate investigations while partnering with Legal, People, and other Security teams.