Senior AI Security Orchestration Engineer — Remote

Procter & Gamble; Philippines; On-site; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

STAR performance bonus

Flexible work schedule / work fromhome

Health insurance

Job summary

Procter & Gamble Manila seeks a Senior Automation Engineer (AI-Accelerated Threat Response) to join our InfoSec Cyber Defense Technology team. You will lead the implementation of a SOAR platform to boost automation, speed, and containment against AI-driven threats.

Collaborate with the SOC, Detection Engineering, and Incident Response teams to design playbooks, integrate new log sources, and operationalize automated responses for machine-speed triage and remediation using AI/LLM APIs.

Qualifications

• Experience using Python for security automation and IR processes.
• Knowledge of SIEM systems and SOC workflows.
• Experience integrating AI/LLM APIs to speed triage.
• Understanding of security architecture and API development.
• Familiarity with threat actor tactics and AI-accelerated techniques.

Responsibilities

• Collaborate with SOC and defense teams to enhance automation with SOAR.
• Design and upgrade SOC processes to reduce MTTC for AI-driven attacks.
• Operationalize new automated responses and playbooks.
• Integrate new log sources and develop efficient triage pipelines.
• Mature SOC playbooks and use cases for frontier AI scenarios.
• Engage stakeholders to align data and automation needs.

Skills

Python scripting

AI/LLM APIs

SIEM

Security automation

SOAR processes

Incident response

API development

Communication

Tools

SOAR platforms

SIEM tools

Python

Job description

Procter & Gamble Manila seeks a Senior Automation Engineer (AI-Accelerated Threat Response) to join our InfoSec Cyber Defense Technology team. You will lead the implementation of a SOAR platform to boost automation, speed, and containment against AI-driven threats.

Collaborate with the SOC, Detection Engineering, and Incident Response teams to design playbooks, integrate new log sources, and operationalize automated responses for machine-speed triage and remediation using AI/LLM APIs.