Job description

Amazon Healthcare Security's (HealthSec) Detections & Monitoring team is hiring a Security Engineer II to design, build, and operate detection and monitoring capabilities that protect Amazon Health Services (AHS) across cloud infrastructure, applications, endpoints, and AI-powered systems. You will work at the intersection of detection engineering and security operations—building detection-as-code pipelines, developing automated investigation and response workflows, and extending monitoring coverage to emerging AI and agentic application architectures. Working closely with AHS engineering teams, peer security teams, and incident responders, you will ensure that threats targeting healthcare workloads are detected rapidly and investigated efficiently, while maintaining HIPAA compliance and Amazon's security bar. You will also leverage AI/LLM-powered tooling to scale detection, triage, and response beyond traditional approaches. Key job responsibilities Design, build, and maintain detection-as-code capabilities across cloud infrastructure (CloudTrail, GuardDuty, VPC Flow Logs), SaaS applications, endpoints, and identity systems, improving coverage and signal quality Develop and deploy detections and monitoring for agentic applications and AI services, including anomaly detection for LLM-powered tools, agent orchestration systems, and AI service APIs Build automated investigation and response workflows that replace manual runbooks, leveraging AI to scale triage, enrichment, containment, and remediation Develop and deploy AI/LLM-powered tooling to accelerate investigations, reduce alert fatigue, and extend team capacity beyond traditional headcount constraints Continuously monitor telemetry data, alerting systems, and dashboards for early signals of degradation, compromise, or abuse across AHS environments Triage and correlate alerts from multiple sources to identify patterns, reduce noise, and surface high-fidelity signals before impact escalates Lead and participate in incident response, including detection, investigation, containment, and retrospectives, identifying root causes and driving long-term resilience improvements Partner cross-functionally to expand logging, improve observability, and embed detection capabilities into the development lifecycle Proactively identify gaps in visibility or detection coverage and translate ambiguous threat landscapes Develop and maintain security documentation including detection coverage maps, threat models, runbooks, and monitoring architecture guidelines About the team The HealthSec Detections & Monitoring team protects Amazon's healthcare services by building and operating detection and monitoring capabilities at scale. We detect threats across cloud infrastructure, applications, endpoints, and AI systems—and we build AI-powered tooling to make our detections smarter and our response faster. Amazon Security offers talented security professionals the chance to accelerate their careers with opportunities across cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the 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 Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. - 5+ years of security-related professional experience - Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience - Experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience directly working with cloud hosting technologies (AWS, Azure, etc.) - Experience applying threat modeling or other risk identification techniques or equivalent - Experience with log aggregation and analysis platforms (e.g., Splunk, OpenSearch, ELK, Datadog) and/or endpoint detection tools (e.g., SentinelOne, CrowdStrike) - Experience in Linux/RHEL, or experience in Kubernetes, Docker or containers ecosystem - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in automation or monitoring frameworks, deployment or development - Experience building detection-as-code frameworks or custom detection pipelines - Experience building AI/LLM-powered security tooling or applying AI to detection, triage, or investigation workflows - Understanding of generative AI technologies, large language models, and AI agents, with ability to identify security risks in agentic architectures - Experience with threat intelligence, threat hunting, or attacker tradecraft frameworks such as MITRE ATT&CK - Experience with automated response/SOAR platforms or building investigation automation 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 amazon.jobs 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 amazon.jobs . USA, WA, Seattle - 159,300.00 - 202,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Design, build, and maintain detection-as-code capabilities across cloud infrastructure (CloudTrail, GuardDuty, VPC Flow Logs), SaaS applications, endpoints, and identity systems, improving coverage and signal quality
Develop and deploy detections and monitoring for agentic applications and AI services, including anomaly detection for LLM-powered tools, agent orchestration systems, and AI service APIs
Build automated investigation and response workflows that replace manual runbooks, leveraging AI to scale triage, enrichment, containment, and remediation
Develop and deploy AI/LLM-powered tooling to accelerate investigations, reduce alert fatigue, and extend team capacity beyond traditional headcount constraints
Continuously monitor telemetry data, alerting systems, and dashboards for early signals of degradation, compromise, or abuse across AHS environments
Triage and correlate alerts from multiple sources to identify patterns, reduce noise, and surface high-fidelity signals before impact escalates
Lead and participate in incident response, including detection, investigation, containment, and retrospectives, identifying root causes and driving long-term resilience improvements
Partner cross-functionally to expand logging, improve observability, and embed detection capabilities into the development lifecycle
Proactively identify gaps in visibility or detection coverage and translate ambiguous threat landscapes
Develop and maintain security documentation including detection coverage maps, threat models, runbooks, and monitoring architecture guidelines
About the team
Diverse Experiences
Why Amazon Security?
Inclusive Team Culture
Training & Career Growth
Work/Life Balance
5+ years of security-related professional experience
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience
Experience directly working with cloud hosting technologies (AWS, Azure, etc.)
Experience applying threat modeling or other risk identification techniques or equivalent
Experience with log aggregation and analysis platforms (e.g., Splunk, OpenSearch, ELK, Datadog) and/or endpoint detection tools (e.g., SentinelOne, CrowdStrike)
Experience in Linux/RHEL, or experience in Kubernetes, Docker or containers ecosystem
Knowledge of security and compliance standards including HIPAA and GDPR

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmjavaawsazurekubernetesdocker

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave