VibeCodeCareers 
This on-site, mid-level role at TikTok is based in Singapore. The position focuses on automating digital forensics and incident response (DFIR) processes to enhance security operations and protect user data.
Skills / Requirements
- AI-assisted Development
- Cross-domain Investigations
- Data Mining
- Data Retrieval
- Entity Normalization
- Evidence Packaging
- Pattern Generalization
- Playbook Engineering
- Report Drafting
- Risk Discovery
- Signal Validation
- Technical Support
- Threat Hunting
- Timeline Reconstruction
- Tooling Automation
- Vibe Coding
Why Apply
This role is ideal for those who leverage AI tools to automate and scale investigations. You'll use AI-assisted development to rapidly prototype and deploy tools, enhancing efficiency in data retrieval and evidence handling.
What You'll Be Doing
You will develop and maintain tools for automating digital investigations, focusing on data retrieval, enrichment, and reporting. Your work will involve AI-assisted prototyping to streamline processes and improve security measures.
Working in Singapore, United States
- Singapore is a major tech hub in Asia, offering a vibrant job market for tech professionals.
- The city is known for its efficient public transportation system, making commuting straightforward.
- Singapore's diverse culture and food scene provide an enriching lifestyle for expatriates.
- As a global financial center, Singapore offers numerous opportunities for career growth in tech.
Pay and Career Growth
The role offers a chance to work in a high-impact security team at TikTok, focusing on cutting-edge automation and AI tools. The position promises exposure to global security challenges and the opportunity to develop reusable security solutions.
Benefits and Perks
- Career Growth
- competitive salary
- Global Impact
- Innovative environment
Is This Role Right for You?
Good fit if you...
- You thrive in environments where AI tools are used to automate complex processes.
- You have experience in digital forensics and incident response, focusing on automation.
- You enjoy developing tools that enhance security and streamline investigations.
May not be for you if...
- You prefer roles with minimal emphasis on automation and AI tools.
- You lack experience in digital forensics or incident response.
- You are uncomfortable with on-site work arrangements in Singapore.
Original Job Description
The mission of TikTok’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 TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok 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 TikTok operates.
Trust is one of TikTok’s biggest initiatives, and security is integral to our success. In whatever ways users interact with us â whether they’re watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop â GSO protects their data and privacy, so they can have a secure and trustworthy experience.
TikTokâs Global Forensics team is responsible for the companyâs technical investigations and digital forensics work. We are seeking a DFIR Automation Engineer (Investigation Enablement & Threat Hunting). This role focuses on tooling, automation, and AI-assisted engineering to scale cross-domain investigations by accelerating data retrieval, correlation, timeline reconstruction, evidence packaging, and report draftingâwhile preserving audit-ready, defensible, and reproducible evidence chains. The role also drives case-informed proactive hunting to discover additional risk signals and convert them into reusable playbooks, tools, and detection/controls improvements.
Responsibilities
– Build and maintain investigation enablement tooling and automation: data retrieval/export, enrichment, correlation, entity normalization, timeline generation, evidence indexing, and report skeleton drafting.
– Apply AI-assisted development (âvibe codingâ for rapid prototyping) to accelerate delivery of scripts/tools, while enforcing engineering guardrails (human review, tests, change control, and auditability).
– Engineer scenario-based playbooks, templates, and query packs to standardize cross-domain investigations and reduce manual, repetitive work.
– Provide L2 technical support for complex/adversarial cases and productize high-frequency steps discovered in real cases.
– Drive proactive risk discovery through case-informed hunting and data mining: generalize patterns from cases, run targeted hunts across multi-source telemetry, validate signals, and produce actionable findings.
– Convert investigation and hunting outcomes into reusable improvements: playbooks, dashboards, detection use cases, data quality requirements, logging gaps, and control/process recommendat
