Manager, Security Engineering, AWS Security Incident Response

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

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 impact through metrics you define and own - Oversee how your engineers work alongside AI investigation agents, maintaining human-in-the-loop guarantees and driving AI accuracy through feedback loops and quality controls - Partner with peer managers across global time zones to maintain 24/7 coverage and ensure continuity across the follow-the-sun model - Coach and develop security engineers, building a team culture that values root cause analysis over ticket count

Due to the nature of the work performed within this team, candidates must be U.S. citizens and eligible to obtain a US Government security clearance.

A day in the life - Review queue health metrics and drive the team toward zero pending investigations - Coach engineers through complex investigations and review customer-facing communications for analytical depth - Step into high-severity incidents directly — get on a call with a customer's CISO to walk through findings and advise on remediation - Review AI investigation agent outputs and work with engineers to improve feedback loops - Coordinate with internal teams to mitigate customer security issues - Partner with peer managers across regions during handover calls

About the team The AWS Security Incident Response team provides 24/7 threat monitoring, investigation, and response for customer AWS environments. The team is in the early stages of a three-phase transformation: (1) operational excellence with defined SLOs and quality standards, (2) agentic AI transformation where AI agents conduct routine investigations autonomously, and (3) expansion into Amazon Dedicated Cloud (ADC), GovCloud, and internal AWS services. We respond to customer requests within minutes. Zero queue tolerance is the operating standard. We value engineers who solve root causes over those who close tickets. This is a unique opportunity to lead a team through a fundamental shift in how security operations are delivered.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

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Inclusive Team Culture

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Mentorship and Career Growth

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- 5+ years of managing and developing teams experience - 5+ years of progressive work within a software security team or related operating environment experience - Bachelor's degree in Computer Science, Information Security, or a related field - Experience establishing credibility quickly with senior level executives across organizations - Experience defining program requirements and using data and metrics to drive improvements - Hands-on experience conducting or leading information security investigations during complex incidents — not just managing from the sideline

- information security professional certification (SANS GIAC, CISSP etc.) - Master's degree in Computer Science or a related field - Experience triaging and developing security alerts and response automation, conducting front-line analysis, and providing escalation support - Experience managing teams, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience working in a fast-paced, rapidly changing operations environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 175,100.00 - 236,900.00 USD annually