Amazon Web Services, Inc.

Technology

Manager,SecurityEngineering,AWSSecurityIncidentResponse

$100–237k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Security Engineering, AWS Security Incident Response at Amazon Web Services, Inc.. Skills: Security Incident Response, AI-native operations, Team leadership. Own day-to-day operations. Manage investigation queue health”

What You'll Achieve.

Zero pending tickets; Improve automation; Drive AI accuracy

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Complex threat analysis; Complex incidents

Eligibility Requirements

U. S. citizens, US Government security clearance

What They're Looking For.

Must Have

5+ years managing teams, 5+ years software security experience, Bachelor's degree in Computer Science, Establish credibility with executives, Define program requirements, Use data and metrics, Conduct information security investigations

Nice to Have

Information security certification, Master's degree, Triage security alerts, Develop security response automation, Front-line analysis, Escalation support, Machine Learning fundamentals, Large Language Model fundamentals

What You'll Do.

Own day-to-day operations

Manage investigation queue health

Enforce response time targets

Drive team toward zero pending tickets

Engage with customer security executives

Lead post-incident reviews

Advise on security posture

Build long-term trust

Serve as senior escalation point

Take direct ownership

Drive response-to-automation flywheel

Capture lessons from investigations

Enrich detection capabilities

Oversee engineers working with AI agents

Maintain human-in-the-loop guarantees

Partner with peer managers

Maintain 24/7 coverage

Coach security engineers

Develop security engineers

How You'll Work.

Team & Collaboration

Peer managers global; Cross-team coordination; Internal teams mitigation

Communication Scope

Customer-facing communications; Executive presentations

Process & Methodology

SLOs, Metrics definition

Full Job Description

AWS Security Incident Response is looking for a Security Manager who combines deep technical expertise in security operations with the leadership judgment to drive a team through a fundamental transformation — from human-driven investigation to AI-native security operations. You will own operational excellence for a regional team of security engineers, engage directly with customer security executives during high-severity incidents, and drive the response-to-automation flywheel that makes 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 the majority of routine investigations within minutes, allowing engineers to focus on complex threat analysis, proactive hunting, and customer engagement. We treat every investigation as a confirmed security incident until the data proves otherwise. Key job responsibilities - Own day-to-day operations across threat detection, triage, investigation, and incident response for a regional team of security engineers operating under defined Service Level Objectives (SLOs) - Manage investigation queue health, enforce response time targets, and drive the team toward zero pending tickets at all times - Engage directly with customer security executives — CISOs, VPs of Security, and their teams — to communicate findings, lead post-incident reviews, advise on security posture, and build long-term trust - Serve as a senior escalation point for complex or high-severity incidents, taking direct ownership when investigations require leadership judgment or cross-team coordination - Drive the response-to-automation flywheel: capture lessons from investigations to improve automation, enrich detection capabilities, and measure im

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