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About the Role

The Detection Engineering Section is building next-generation detection pipelines using eBPF, behavioral analytics, and LLM-integrated pipelines to defend critical infrastructure against advanced threats. We are transitioning to a Detection-as-Code model, focusing on proactive, intelligence-led defense.

Responsibilities

Build and manage an end-to-end detection pipeline with 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, normalization, and filtering.
Lead the implementation of kernel-level monitoring using eBPF-based tools for visibility into containerized and Linux-based workloads.
Perform continuous attack simulations and lead proactive threat hunting initiatives.
Deploy and manage deception technologies to create high-interaction traps.
Ensure detection logic aligns with the 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 against manipulation.
Partner with the SOC team to ensure detection logic seamlessly feeds into SOAR playbooks for rapid response.

Requirements

10+ years in Cyber Security, with at least 5+ years in Detection Engineering or Security Research.
Deep expertise in building detection pipelines, tuning logic for high-fidelity alerts, and managing the security rule lifecycle.
Practical experience building/tuning AI/ML/LLM models for anomaly detection and log analysis.
Expert-level coding skills in Python, Go, or Rust.
Mastery of Linux/Windows/Mac internals.
Strong hands-on experience securing Kubernetes clusters, container runtimes, and microservices architectures.
Understanding of Telco networks/protocols (e.g., 5G core, signaling) and Network Security.
Experience in penetration testing, exploit development, or red teaming.
Bachelor's or Master's degree in Computer Science, Cyber Security, or equivalent.
Relevant certifications (e.g., OSCP, GREM, GCFA, CKS, BTL2, or AI-Security credentials).

Skills

Python
Go
Rust
Linux
Kubernetes
eBPF
Git
Sigma
YARA
LLM
SOAR
Terraform
Ansible
Detection Engineering
Security Research
AI/ML/LLM
Anomaly Detection
Log Analysis
Container Security
Microservices
Telco Networks
Network Security
Penetration Testing
Exploit Development
Red Teaming
Infrastructure as Code
eBPF tools
Open-source detection projects

Location

Japan (Tokyo or Osaka)

Work Type

Domestic/overseas business travel and relocation may be required.

Experience Level

10+ years in Cyber Security
5+ years in Detection Engineering or Security Research

Education Level

Bachelor's or Master's degree in Computer Science, Cyber Security, or equivalent.

About the Company

Cyber Defense Operations is the core department responsible for ensuring the safety and security of Rakuten Group'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.