Detection Engineering Lead (Cybersecurity)

Location: Taipei, Taiwan

Company

hirify.global Security provides a SaaS security platform that helps enterprises reduce risk, detect and respond to threats, and prevent breaches across Microsoft 365, Salesforce, and other SaaS applications.

What you will do

• Establish and lead the detection engineering function in Taiwan, defining its technical direction, operating model, quality standards, and hiring plan.
• Research cloud, identity, and SaaS threats; develop threat models; and translate attacker behavior into actionable detection opportunities.
• Design, author, test, maintain, and tune detection rules and behavioral detection models.
• Partner with platform and data engineering teams to build telemetry, enrichment, correlation, historical context, and scalable production processing pipelines.
• Build detection testing, simulation, coverage measurement, versioning, release management, and lifecycle frameworks.
• Measure detection quality, investigate false positives and false negatives, document detection behavior, and mentor detection engineers and security researchers.

Requirements

• Significant experience in detection engineering, threat research, security analytics, incident response, threat hunting, or a closely related security discipline.
• Experience leading security research or detection initiatives and mentoring practitioners.
• Strong knowledge of attacker behavior, identity threats, cloud security, and enterprise SaaS environments.
• Experience developing production detections using rules, queries, correlations, statistical methods, or behavioral models, and working with large security datasets.
• Strong data analysis skills, with proficiency in relevant query, scripting, or programming languages.
• Strong written and verbal communication skills in English are required. Effective collaboration across regions, time zones, functions, and cultures is also required.

Nice to have

• Experience with identity security, SaaS security, cloud detection and response, SIEM, UEBA, EDR, or XDR products.
• Familiarity with identity-based attacks, MITRE ATT&CK, detection-as-code systems, rule languages, or automated validation frameworks.
• Experience applying machine learning, anomaly detection, or generative AI to security problems.
• Experience investigating real-world intrusions, working with incident response teams, or scaling detection engineering teams.
• Experience working in Taiwan or with globally distributed APAC teams; Mandarin proficiency.

Culture & Benefits

• Collaborate with teams across Taiwan, the US, the UK, and Australia on a unified global detection program.
• Build a culture of scientific rigor, curiosity, and continuous improvement.
• Work directly with Security Research, Product Management, platform engineering, data engineering, and Customer Success.
• Help deliver timely, explainable, and actionable security findings for enterprise customers.