Threat Intel Research Engineer

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🏄 California – Remote

🏄 California – Remote

💵 $140k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

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DTEX Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

Cybersecurity • Artificial Intelligence • Enterprise

DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.

📋 Description

• Design and implement behavioral detections and analytic content using DTEX’s proprietary telemetry and data models. • Build and maintain full-stack applications and internal tools that support intelligence workflows, detection pipelines, and customer-facing features. • Develop and optimize algorithms for behavioral modeling, anomaly detection, and risk scoring using structured and unstructured data. • Lead QE efforts for the Intelligence team, including test automation, regression validation, and release readiness for detection content and supporting tools. • Partner with data scientists, detection engineers, product managers, and customer success teams to translate intelligence needs into scalable solutions. • Stay current with emerging threats, detection methodologies, and full-stack technologies to continuously improve DTEX’s detection and response capabilities.

🎯 Requirements

• In depth system level knowledge of Windows, Mac, & Linux. • 3-5+ years of experience in full-stack development (Python, Django/Flask, React/TypeScript preferred). • Strong understanding of cybersecurity principles, detection engineering, and behavioral analytics. • Experience with data pipelines, RESTful APIs, and cloud-native architectures (AWS preferred). • Familiarity with QE practices, test automation frameworks, and CI/CD pipelines. • Ability to work independently and collaboratively in a fast-paced, mission-driven environment. • Excellent communication skills and a passion for solving complex security problems.

🏖️ Benefits

• Competitive compensation • Equity participation • Health and wellness benefits • Generous time-off policies