Senior Security Engineer, AWS Security Incident Response

AWS Security Incident Response is looking for a Senior Security Engineer who builds the automation mechanisms that scale security response. You will investigate complex security incidents hands-on, build the frameworks that turn investigation expertise into scalable detection and auto-remediation, and architect the AI feedback loops that make the service smarter with every investigation. The AWS Security Incident Response team provides 24/7 security response through a follow-the-sun operating model. The service combines automated triage workflows, AI-powered investigation agents, and human security analysts to respond to threats across customer AWS environments at massive scale. Our AI systems autonomously resolve over 90% of routine investigations within minutes. The next challenge is building the mechanisms that accelerate this further — enabling every engineer on the team to contribute to detection and automation quality from their investigation work. Your deep understanding of how attacks work — from initial exploitation through lateral movement to data exfiltration — is what makes your automation effective. You will build detection enhancements, auto-remediation playbooks, and AI training pipelines that catch real threats, not just generate noise. We treat every investigation as a confirmed security incident until the data proves otherwise. Native Japanese language skills and fluent English language skills in speaking, reading, and writing. Key job responsibilities - Investigate and respond to complex security incidents hands-on — applying malware analysis, forensic analysis, or attribution skills to credential compromise, data exfiltration, supply chain attacks, and cryptomining - Lead incident response for customers during high-severity events: scope blast radius, coordinate containment, guide remediation, and get on calls with customers to walk them through what was compromised and the specific steps to contain the threat - Own the response-to-automation flywheel: build pipelines that capture investigation patterns (including Trust & Safety abuse cases), translate them into detection rules and auto-remediation, and measure impact on investigation volume and accuracy - Build mechanisms that enable every engineer on the team to contribute detection rules, automation playbooks, and AI training data — and build the AI feedback loops that ensure human corrections systematically improve autonomous investigation accuracy - Define and track metrics that measure automation effectiveness: false positive reduction, auto-resolution coverage, and engineer contribution rates to the pipeline - Mentor junior engineers on investigation methodology and structuring artifacts as reusable automation inputs - Participate in on-call rotations as part of the 24/7 follow-the-sun operating model, including weekends A day in the life - Review automation dashboard metrics: AI agent resolution rates, false positive trends, and engineer-submitted detection rules going live - Investigate new attack patterns the AI is struggling with — analyze malware behavior, extract indicators, and build detection rules that catch the pattern without generating false positives - Step into high-severity incidents directly — analyzing logs, correlating indicators across accounts, scoping blast radius, and getting on a call with the customer to guide containment - Codify attack chains from investigations into detection rules and AI agent improvements so the system catches the pattern autonomously next time - Review and approve detection rule contributions from junior engineers using your contribution framework About the team The AWS Security Incident Response team provides 24/7 threat monitoring, investigation, and response for customer AWS environments. The team is driving a strategic transformation — raising operational standards, building AI-powered investigation capabilities, and expanding coverage. We respond to customer requests within minutes.