Threat Detection Engineer

Company:  Reco
Location: remote
Closing Date: 19/06/2026
Hours: Full Time
Type: Permanent

Job Description

Job Description:

  • Dive deep into terabytes of SaaS Application data to identify new attack vectors, emerging threats, and vulnerabilities across various attack surfaces.
  • Stay up-to-date with the latest cybersecurity trends and contribute to the development of cutting-edge threat detection methodologies.
  • Utilize your technical prowess to investigate complex SaaS & AI security incidents, analyzing data from diverse SaaS applications to uncover the root causes and methods of attack.
  • Leverage your expertise in data analysis and correlation to fine-tune detection rules and algorithms, minimizing false positives and enhancing the accuracy of the platform's threat alerts.
  • Drive thought leadership initiatives by creating technical blog posts, delivering webinars, and speaking at conferences to share insights, educate the community, and enhance the company's reputation in the cybersecurity landscape.
  • Collaborate with security researchers and data scientists to define new threat detection strategies based on SaaS attack vectors and industry trends.
  • Continuously monitor and analyze SaaS attack techniques, adapting security posture to evolving threats.
  • Work with APIs and integrations to ingest security logs from various SaaS platforms, correlating signals to detect real threats.

Requirements:

  • A background of at least 5 years in cybersecurity, preferably in SOC, SIEM, Threat Intelligence, or Cloud Security
  • Experience with SaaS security challenges, such as shadow IT, OAuth risks, IDP misconfigurations, and excessive permissions.
  • Hands-on experience with security data analysis, including large-scale log processing, anomaly detection, and behavioral analytics.
  • Proficiency in SQL (e.g., ClickHouse) for querying security events and correlating threat indicators.
  • Strong understanding of identity-based attacks, insider threats, and SOC detection methodologies.
  • Familiarity with SIEM and XDR solutions (e.g., Splunk, Sentinel, Chronicle) and their role in modern detection engineering.
  • Strong problem-solving and analytical skills to triage security incidents and optimize detection rules.
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