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Security Engineer, Detection & Response - Global Security Organization - Threat Management Incident Response

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Cybersecurity, Security Management & Operations
Salary/Wage Range or Industry Benchmark: 128000 - 256000 USD Yearly USD 128000.00 256000.00 YEAR
Job Description & How to Apply Below
Position: Security Engineer, Detection & Response - Global Security Organization - Threat Management Incident Response and
Security Engineer, Detection & Response
- Global Security Organization
- Threat Management Incident Response and Investigation

Location:

San Jose

Employment Type:

Regular

Job Code:

A52237

Responsibilities

Threat Management, Incident Response, and Investigations protects our global businesses, products, employees, and users across the full security lifecycle. We detect and respond to cyber threats, vulnerabilities, and security risks across the lifecycle, and investigate issues end to end.

Our global team provides prompt security response worldwide, leveraging AI to identify and respond to security issues quickly. You will work on high-stakes problems, from detection and automation to live intelligence-driven incident response and investigation, and see your work protect the company and its users worldwide.

The mission of Tik Tok's Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as "GSO", this team is the foundation of our efforts to keep Tik Tok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the Tik Tok platform is safe and secure, that our users' experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever Tik Tok operates.

Trust is one of Tik Tok's biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they're watching videos on their For You page, interacting with a Live video, or buying products on Tik Tok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience.

Tik Tok's Detection Engineering team is responsible for identifying anomalous behaviors across the enterprise  are seeking a Detection Engineer. This role focuses on mining abnormal patterns from massive volumes of logs including host, network, endpoint, authentication and business application data, to detect potential unintended activities within the internal environment. This covers both external intrusion attempts, and emerging AI-specific security risks, and requires strong data analysis and algorithmic skill sets.

Tik Tok's Global Detection Engineering team identifies anomalous behaviors at enterprise scale. We are seeking a Detection Engineer to mine abnormal patterns from massive host, network, endpoint, authentication and business application logs. This role detects external intrusions and emerging AI security risks, requiring strong data analysis and algorithmic skills.

  • End-to-End Detection Engineering:
    Own detection rules, behavioral models, and pipelines end-to-end — from log ingestion through alerting — across petabyte-scale security telemetry.
  • Streaming & ML-Based Anomaly Detection:
    Build streaming detection pipelines that combine statistical methods and unsupervised learning to baseline normal behavior and surface unknown threats.
  • AI Agent Security Detection:
    Design detection capabilities for internal agent systems based on the MITRE ATLAS framework, covering invocation, tool execution, privilege escalation, and data access.
  • Detect emerging attack patterns: agent abuse, unauthorized tool calls, agent escape, multi-agent collusion.
  • Monitor agent-LLM-tool-data interactions to catch instruction manipulation and data exfiltration.
  • Retrospective Threat Hunting:
    Run hunting pipelines against cold storage and historical logs to support post-incident analysis and detection gap validation.
  • Continuous Optimization:
    Improve signal-to-noise ratio, cut down alert fatigue, and work with AI security teams to shape logging standards for LLM and agent systems.
Qualifications

Minimum Qualifications
  • 5+ years of hands-on experience in information…
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