Senior Security Detection Engineer

TikTok Pte. Ltd.; Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company at the forefront of digital security, where you will play a critical role in protecting a platform with over a billion users. As part of the Detection Engineering team, you will leverage your expertise in cybersecurity to research and mitigate emerging threats, develop innovative detection methods, and collaborate with diverse teams to enhance security measures. This role offers an exciting opportunity to work with cutting-edge technologies, including AI and machine learning, in a dynamic environment that values creativity and impact. If you're passionate about making a difference in the cybersecurity landscape, this is the perfect opportunity for you.

Benefits

Meals provided

Competitive compensation

Flexible working hours

Health insurance

Wellness programs

Qualifications

• 5+ years of experience in cybersecurity focused on security analytics.
• Proficiency in Python and related tools for log analysis.
• Experience with security offense/defense techniques.

Responsibilities

• Research emerging cyber threats and vulnerabilities.
• Develop methods to detect threats and identify attack surfaces.
• Automate detection and response processes.

Skills

Python

Security Analytics

Incident Response

Log Analysis

Threat Modeling

AI and Machine Learning

Education

Bachelor's Degree in Cybersecurity

Tools

numpy

pandas

sklearn

WAF

HIDS

NTA

EDR

DLP

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have global headquarters in Los Angeles and Singapore, with additional offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

At TikTok, inspiring creativity is at our core. Our innovative platform helps people express themselves, discover new content, and connect. Our diverse teams create value for communities worldwide, fostering an environment of curiosity, humility, and impact. We embrace challenges, iterate constantly, and maintain an 'Always Day 1' mindset to achieve breakthroughs. Join us to grow together and explore limitless possibilities.

Diversity & Inclusion

TikTok is dedicated to fostering an inclusive environment where employees are valued for their unique skills and perspectives. Our platform connects people globally, and so does our workplace. We celebrate diversity and aim to reflect the many communities we serve. We are passionate about this mission and invite you to be part of it.

Job Highlights

100+ million users, Meals provided, Competitive compensation

Responsibilities

Team Introduction: The TikTok Global Security Organization (GSO) aims to build trust by reducing risk and securing our platform. GSO ensures safety, security, and compliance across our global user base of over 1 billion. We protect user data and privacy, enabling a secure experience across all interactions, including videos, live streams, and TikTok Shop.

Role Overview: As part of the Threat Detection and Response team, the Detection Engineering team enhances our ability to identify malicious threats through data engineering, adversarial analysis, and tool development.

Responsibilities:

• Research emerging cyber threats, vulnerabilities, and exploits.
• Develop methods and technologies to detect threats and identify attack surfaces.
• Lead projects to implement security controls and detection tools.
• Analyze security incidents and support response teams.
• Assess and improve detection tooling and strategies.
• Automate detection and response processes.
• Use threat modeling and log analysis to develop behavioral detections.
• Collaborate with stakeholders to discover new detection sources.
• Apply AI and Machine Learning to develop innovative security solutions.

Qualifications

Minimum Qualifications:

• Bachelor’s Degree or equivalent experience in Cybersecurity, focusing on security analytics and incident response.
• 5+ years of relevant experience.
• Proficiency in Python and related tools (numpy, pandas, sklearn) for log analysis and anomaly detection.
• Experience with security offense/defense techniques and developing detection rules at scale.
• Strong understanding of security fundamentals across networks, hosts, applications, and containers.

Preferred Qualifications:

• Experience with security products like WAF, HIDS, NTA, EDR, or DLP, and familiarity with industry frameworks (MITRE ATT&CK, NIST CSF).
• Knowledge of Detection-as-Code pipelines and in-house security tools.
• Effective communication and collaboration skills, self-motivated, team-oriented.
• Certifications such as GCIA, GCIH, GREM, OSCP, OSCE are a plus.