
Threat Detection Engineer
Posted 1 day ago

Posted 1 day ago
• Conduct in-depth analysis of terabytes of SaaS Application data to pinpoint new attack vectors, emerging threats, and vulnerabilities across multiple attack surfaces.
• Keep abreast of the latest trends in cybersecurity and contribute to the creation of innovative threat detection methodologies.
• Apply your technical expertise to investigate intricate SaaS and AI security incidents, analyzing data from various SaaS applications to reveal root causes and attack methods.
• Utilize your data analysis and correlation skills to refine detection rules and algorithms, reducing false positives and improving the accuracy of the platform's threat alerts.
• Lead thought leadership initiatives by producing technical blog posts, delivering webinars, and presenting at conferences to share insights, educate the community, and bolster the company's reputation in the cybersecurity sector.
• Collaborate with security researchers and data scientists to devise new threat detection strategies based on SaaS attack vectors and industry developments.
• Continuously monitor and assess SaaS attack techniques, adapting the security posture in response to evolving threats.
• Work with APIs and integrations to collect security logs from various SaaS platforms, correlating signals to identify genuine threats.
• A minimum of 5 years of experience in cybersecurity, ideally within SOC, SIEM, Threat Intelligence, or Cloud Security.
• Familiarity with SaaS security challenges, including shadow IT, OAuth risks, IDP misconfigurations, and excessive permissions.
• Practical experience in security data analysis, encompassing large-scale log processing, anomaly detection, and behavioral analytics.
• Proficient in SQL (e.g., ClickHouse) for querying security events and correlating threat indicators.
• A solid understanding of identity-based attacks, insider threats, and SOC detection methodologies.
• Knowledge of SIEM and XDR solutions (e.g., Splunk, Sentinel, Chronicle) and their significance in contemporary detection engineering.
• Strong analytical and problem-solving abilities to triage security incidents and enhance detection rules.
• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and continuous learning.
• Flexible work environment and work-life balance initiatives.
• Access to cutting-edge tools and technologies in cybersecurity.
Symbotic
Honeywell
Honeywell
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