Note: The job is a remote job and is open to candidates in USA. CloudWalk, Inc. is a payments technology company building AI-driven solutions for the financial services industry. The Insider Risk Security Engineer will build, tune, and operate the insider threat program by investigating user behavior, developing detections, automating triage workflows, and conducting threat hunting. The role partners with Legal, People, and Security teams to protect critical data and coordinate remediation.

Responsibilities

• Build & Tune Detections: Design, implement, and fine-tune rules across Chronicle (YARA-L), Wiz, and SentinelOne, plus our DLP and UEBA surfaces. Move beyond out-of-the-box alerts, actively cut false positives, and own the detection lifecycle from rule creation to retirement
• 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

Skills

• Hands-on Experience in a Security Operations Center (SOC), Cyber Threat Intelligence, Incident Response, Security Engineering, or dedicated Insider Threat role
• Investigative & Analytical Mindset: You know how to differentiate between a malicious data exfiltration event and an engineer who just doesn't understand the company's cloud storage policy
• Technical Chops: Deep, practical experience querying raw logs, writing detection rules, and understanding the data pipeline behind them — you don't just read dashboards, you go to the source
• Stack Familiarity (or ability to ramp fast): Google Workspace (Admin SDK, Reports API), Chronicle / Google SecOps (UDM Search, YARA-L), Wiz, SentinelOne (Deep Visibility), Jumpcloud, Tailscale, GCP Audit Logs and IAM. DLP/UEBA tools (e.g., Microsoft Purview, Proofpoint, Forcepoint, Varonis, Exabeam) and SIEM platforms (e.g., Splunk, Sentinel, CrowdStrike LogScale)
• Scripting Skills: Proficiency in TypeScript (Python/bash a plus). You write tools and services others can rely on, not just one-off scripts
• Discretion & Ethics: Unwavering integrity and the ability to handle highly sensitive, confidential personnel investigations with strict adherence to privacy laws and company guidelines
• Communication: The ability to translate complex technical forensic findings into clear, non-technical summaries for People and Legal teams
• Experience with insider threat detection, User and Entity Behavior Analytics, or building insider risk workflows
• Familiarity with fintech / payment industry security (PCI DSS, card data, Pix, acquiring flows)
• Experience with LLM-powered security agents or AI-driven detection / triage automation
• Kubernetes / Istio service mesh context

Company Overview