
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.
🕒 June 10
🇺🇸 United States – Remote
💵 $140k - $180k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 33%
Where this job comes from
Posted on DTEX Systems's careers page, not through a job board
First seen by Remote Rocketship June 10

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.
• 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 supporting 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 quality engineering efforts, including test automation, regression validation, and release readiness • 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 • Advance DTEX’s cybersecurity detection capabilities and intelligence content and infrastructure
• In-depth system-level knowledge of Windows, Mac, and Linux • 3–5+ years of experience in full-stack development • Experience with 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 environment • Excellent communication skills and passion for solving complex security problems • Experience with Elasticsearch, Spark, or similar data platforms preferred • Background in threat intelligence, insider risk, or UEBA preferred • Exposure to ML/AI techniques for detection and classification preferred • Contributions to open-source security or analytics projects preferred
• Equity participation • Health and wellness benefits • Generous time-off policies • Hybrid or remote work environment • Continuous professional development opportunities • Values-driven culture prioritizing respect, inclusion, and collaboration
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