I

Senior Detection Engineer

ideal folks llc • Japan
Visa Sponsorship
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Architect and build next-generation Detection-as-Code pipelines using eBPF, AI/LLM models, and behavioral analytics to defend critical infrastructure. Lead offensive security initiatives, threat hunting, and the integration of CTI into automated detection logic. Requires 10+ years in cybersecurity with deep expertise in detection engineering, Linux/K8s security, and advanced coding skills.

Key Highlights
Lead the transition to a Detection-as-Code (DaC) model with peer reviews and version control.
Implement kernel-level monitoring using eBPF-based tools for containerized and Linux workloads.
Architect AI/LLM-driven detection models to identify autonomous attacks and reduce SOC noise.
Key Responsibilities
Build and manage an end-to-end detection pipeline featuring peer reviews, version control, and a reusable repository of detection rules.
Architect and develop AI/LLM-based models to identify autonomous AI attacks and automate log onboarding.
Lead the implementation of kernel-level monitoring using eBPF-based tools for containerized and Linux-based workloads.
Perform continuous attack simulations (Red Teaming) to validate detection coverage and lead proactive threat hunting initiatives.
Deploy and manage deception technologies to create high-interaction traps and ensure detection logic aligns with defense-in-depth architecture.
Collaborate with DFIR, CTI, and SOC teams to integrate CTI into detection logic via AI-driven automation.
Oversee the security of AI/LLM models, implementing guardrails to prevent model poisoning and prompt injection.
Partner with the SOC team to ensure detection logic feeds seamlessly into SOAR playbooks for machine-speed response.
Technical Skills Required
Detection Engineering eBPF Python
Benefits & Perks
Visa sponsorship available
Relocation may be required
Nice to Have
Experience with Infrastructure as Code (Terraform, Ansible, Crossplane).
Deep experience with eBPF tools (e.g., Tetragon, Falco, Cilium, Spyderbat).
Active contributor to open-source detection projects (e.g., Sigma, YARA, or custom AI-detection models).
Experience in high-scale environments (Telco, Cloud-Native, or FinTech).

Job Description

[Hiring for a client - Tokyo or Osaka, Onsite]

About the Organization

Cyber Defense Operations is the core department responsible for ensuring the safety and security of the company's internet services. The Detection Engineering Section is tasked with architecting and building next-generation detection pipelines to defend critical infrastructure against autonomous, AI-driven attacks and sophisticated APTs.

We lead the transition to a Detection-as-Code (DaC) model, utilizing eBPF-based runtime security, behavioral analytics, and LLM-integrated pipelines to deliver high-fidelity, actionable alerts. We are "defenders with an attacker's brain," committed to proactive, intelligence-led defense.

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