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Staff Engineer, Digital Forensics & Incident Response

Summary

The Staff Engineer for Digital Forensics & Incident Response leads complex security investigations, performs deep-dive forensic analysis, and develops incident response playbooks for Rakuten Mobile. The role requires expertise in telecom network security, containerized environments, and advanced forensic tools to harden the environment against threats.

Job Description:

Description:

The Security Engineering & Operations Supervisory Department at Rakuten Mobile is seeking a Senior DFIR Lead to join a growing cyber defense organization. The candidate will serve as a lead responder for complex security incidents, performing deep-dive forensic investigations, root cause analysis, and containment activities. This role is ideal for a seasoned investigator who thrives under pressure, possesses a forensic mindset, and can turn incident findings into strategic improvements that harden our environment against future threats.

Responsibilities:

  • Lead and execute end-to-end incident response investigations, from initial triage and scoping to containment, eradication, and recovery.
  • Perform deep-dive forensic analysis of endpoints, network traffic, and cloud environments to reconstruct intrusion chains and identify the scope of compromise.
  • Conduct advanced malware analysis (static and dynamic) to understand adversary capabilities, persistence mechanisms, and command-and-control (C2) infrastructure.
  • Develop and maintain incident response playbooks and standard operating procedures (SOPs) for various threat scenarios, ensuring alignment with industry best practices.
  • Collaborate with the Threat Hunting and Detection Engineering teams to provide "lessons learned" from investigations, ensuring that incident findings are converted into permanent detection logic.
  • Partner with Legal, Privacy, and IT stakeholders during high-stakes incidents to ensure proper evidence handling, chain-of-custody, and regulatory compliance.
  • Utilize advanced forensic tools (e.g., EnCase, FTK, Magnet AXIOM, Volatility) and SIEM/EDR platforms to conduct investigations and validate findings.
  • Automate forensic collection and analysis processes using scripting languages (e.g., Python, PowerShell) to reduce time-to-respond during critical incidents.
  • Provide mentorship to junior analysts, conducting peer reviews of forensic reports and overseeing the technical quality of investigations.
  • Maintain a high level of readiness for 24/7 incident response support, providing expert guidance during major security breaches.

Requirements:

Qualifications:

  • Minimum of 10-12 years of experience in cybersecurity, with significant expertise in Digital Forensics and Incident Response.
  • Bachelor’s degree in computer science, Cybersecurity, Information Systems, or a related field, or equivalent practical experience.
  • Industry certifications such as SANS GCFA, GCFE, GNFA, or CISSP are highly preferred.

Required Skills & Knowledge:

  • Expertise in forensic artifacts across major Operating Systems (Windows, Linux, macOS), including file system analysis, memory forensics, and registry/log analysis.
  • Deep expertise in investigating security incidents within telecommunications environments. Ability to perform forensic analysis on mobile core network elements, identifying anomalies in signaling protocols (e.g., 4G/5G, SS7, Diameter, GTP, HTTP/2). Experience in tracing malicious activity across complex, high-throughput telecom traffic flows.
  • Proven experience conducting incident response in containerized environments. Ability to perform runtime forensics within Kubernetes (K8s) clusters, including container breakout analysis, pod-level log correlation, and forensic inspection of ephemeral storage. Deep understanding of K8s API audit logs, etcd integrity, and the forensic implications of container orchestration
  • In-depth knowledge of the MITRE ATT&CK framework for mapping adversary behavior during investigations and identifying gaps in current security controls.
  • Strong understanding of enterprise network architecture and protocols, with the ability to perform full-packet capture analysis to identify malicious traffic patterns.
  • Deep understanding of cloud-native environments, including Kubernetes and container orchestration; proven experience performing incident response within AWS, Azure, or GCP.
  • Experience leveraging advanced AI/ML capabilities, including LLMs, to assist in log correlation, code analysis, and the summarization of complex incident timelines.
  • Exceptional analytical expertise, critical thinking, and the ability to remain calm and methodical under high-pressure, time-sensitive situations.
  • Excellent written and verbal communication skills, with the ability to produce high-quality, court-admissible forensic reports for both technical and executive audiences.
  • Demonstrated strong documentation discipline, capable of maintaining strict chain-of-custody and producing repeatable, defensible investigation results.
  • Ability to work effectively in a fast-paced environment, with flexibility for non-standard work hours during active incident response operations.
  • Strong aptitude for continuous learning, particularly regarding emerging attacker tradecraft and new forensic methodologies.

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