VibeCodeCareers 
On-site role in London for a DFIR Automation Engineer at TikTok, open to various experience levels. The position is part of TikTok's Global Security Organization, focusing on automating and enhancing digital forensics and threat hunting.
Skills / Requirements
- AI-assisted Development
- Auditability
- Data Mining
- Data Retrieval
- Evidence Packaging
- Pattern Generalization
- Playbook Engineering
- Risk Discovery
- Signal Validation
- Technical Support
- Threat Hunting
- Timeline Reconstruction
- Tooling Automation
- Vibe Coding
Why Apply
This role is ideal for those skilled in AI-assisted engineering, as it involves using AI tools to automate data retrieval, correlation, and report drafting. You'll leverage vibe coding for rapid prototyping and automation in threat detection and investigation.
What You'll Be Doing
You'll develop and maintain tools for digital forensics and incident response, focusing on automation to streamline investigations. Your work will include creating playbooks and templates for standardizing processes and providing technical support for complex cases.
Working in London, United States
- London offers a vibrant tech scene with numerous opportunities for networking and career growth.
- The city is a global financial hub, providing a stable job market for tech professionals.
- Public transportation in London is extensive, making commuting convenient.
- London's diverse culture and rich history provide an exciting living environment.
Pay and Career Growth
The role offers a chance to work in a high-impact security team within a major global company. Career progression is based on experience and capability, with opportunities to influence security practices at scale.
Benefits and Perks
- Career Growth
- competitive salary
- Global Impact
- technical challenges
Is This Role Right for You?
Good fit if you...
- Experienced in AI-assisted software development and automation.
- Comfortable with digital forensics and incident response processes.
- Able to work on-site in London and collaborate in a team environment.
May not be for you if...
- Unfamiliar with AI tools and automation in software development.
- Prefers fully remote work arrangements.
- Lacks experience in digital forensics or threat hunting.
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.We welcome candidates across levels (new grad / junior / mid / senior); the level will be determined based on experience and demonstrated capabilities.
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
