Detection Engineering Lead - Taiwan

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Detection Engineering Lead - Taiwan in Others

Obsidian Security
Full time
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Others
08/21/2026
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Taipei, Taiwan

Responsibilities

Establish and lead the Taiwan detection engineering function, including technical direction, operating model, quality standards, and hiring plan.
Research cloud, identity, and SaaS threats and translate attacker behavior into actionable detection opportunities and threat models.
Design, author, test, maintain, and tune detection rules and behavioral detection models.
Define telemetry, enrichment, correlation, and historical-context requirements for effective detections.
Partner with platform and data engineering teams to build scalable detection capabilities and production processing pipelines.
Develop detection testing, simulation, coverage measurement, versioning, release management, and lifecycle frameworks.
Measure and improve detection precision, recall, explainability, performance, and customer value.
Investigate false positives and false negatives and improve detection logic and data quality.
Map detection coverage to threat frameworks, attack techniques, product use cases, and customer risks.
Collaborate with product management and customer success to understand customer environments and detection requirements.
Document detection intent, evidence, expected behavior, limitations, and recommended response actions.
Mentor detection engineers and security researchers and collaborate across Taiwan, the US, the UK, and Australia.

Requirements

Significant experience in detection engineering, threat research, security analytics, incident response, threat hunting, or a 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.
Demonstrated experience developing production detections using rules, queries, correlations, statistical methods, or behavioral models.
Experience working with large security datasets such as audit events, authentication activity, identity data, application logs, or cloud telemetry.
Strong data analysis skills and proficiency with relevant query, scripting, or programming languages.
Understanding of the detection lifecycle, including research, development, validation, deployment, monitoring, tuning, and retirement.
Experience measuring detection quality and using production feedback to improve security outcomes.
Ability to communicate technical security concepts clearly to engineering, product, customer-facing, and executive audiences.
Strong written and verbal English communication skills and the ability to collaborate across regions, time zones, functions, and cultures.
Preferred experience with identity security, SaaS security, cloud detection and response, SIEM, UEBA, EDR, XDR, or detection-as-code systems.
Preferred familiarity with identity-based attacks, MITRE ATT&CK or similar frameworks, machine learning or anomaly detection for security, generative AI security applications, real-world intrusions, incident response, and scaling detection engineering teams.
Mandarin proficiency and experience working in Taiwan or with globally distributed APAC teams are preferred.

Obsidian Security

Every enterprise runs on software it doesn't own: third-party apps, AI copilots, and agents logging in with OAuth tokens nobody's reviewing. Obsidian Security secures all of it, discovering every third-party app and AI feature connected to your business, governing risky permissions, and detecting...

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