Amazon.com Services LLC

Technology

SecurityEngineer,ThreatDetection

$136–184k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Security Engineer, Threat Detection at Amazon.com Services LLC. Skills: Threat detection, Security engineering, Machine learning, Data analysis. Identify critical threats. Deliver high-fidelity detections”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Experience triaging security alerts, Experience developing security alerts, Experience with response automation, Front-line analysis experience, Escalation support experience, Scripting with Python, Scripting with Perl, Scripting with Bash, Scripting with PowerShell, Knowledge of web protocols, Knowledge of common attacks, Knowledge of Linux tools, Knowledge of Unix tools, Knowledge of Linux architecture, Knowledge of Unix architecture, Knowledge of cloud computing, Knowledge of cloud design, 1+ years threat modeling, 1+ years secure coding, 1+ years identity management, 1+ years authentication, 1+ years software development, 1+ years cryptography, 1+ years system administration, 1+ years network security

Nice to Have

Machine Learning fundamentals experience, Large Language Model fundamentals experience, ML architecture experience, ML training lifecycle experience, ML inference lifecycle experience, ML model execution optimization experience, Experience leading teams, Experience influencing organizations

What You'll Do.

Identify critical threats

Deliver high-fidelity detections

Enhance detection engineering processes

Improve detection scoping

Improve detection prioritization

Improve detection development

Improve detection testing

Improve detection maintenance

Develop platform requirements

Enrich alerts with data

Reduce false positives

Automate remediation actions

Automate response actions

Research detection capabilities

Develop detection capabilities

Advance detection capabilities

Streamline operational workflows

How You'll Work.

Team & Collaboration

Incident Response; Threat Hunting; Threat Intelligence; Red Team; Security teams

Full Job Description

Are you excited about advancing the state of threat detection at scale to mitigate risk from an ever-evolving threat landscape impacting a diverse range of businesses? Amazon Stores Security's Threat Detection team is looking for a highly motivated Security Engineer to join our team. In this role, you will research emerging threats to develop new detection ideas and build high-confidence detections that proactively identify malicious activity across large-scale log data. You will work closely with Incident Response, Threat Hunting, Threat Intelligence, and Red Team to understand threat models and deliver detections that enable rapid response. You will also develop innovative methods utilizing the latest techniques to detect threats at scale. Your expertise will help defend the data of Amazon's millions of customers against the most critical threats. Key job responsibilities - Identify critical threats targeting Amazon's network by leveraging threat intelligence and security research, then deliver high-fidelity threat detections aligned to attacker tactics, techniques, and procedures (TTPs). - Enhance detection engineering processes by improving how detections are scoped, prioritized, developed, tested, and maintained throughout their lifecycle. - Develop platform requirements to enrich alerts with contextual data, reduce false positives, and automate remediation and response actions in coordination with incident response teams. - Research and develop mechanisms to advance detection capabilities through machine learning, advanced data correlation, risk-based alerting, or generative AI. - Automate your way through challenges using Python or other scripting languages to build tooling, validate detections, and streamline operational workflows at scale. A day in the life Most days you'll be heads-down building and tuning detections, digging into log data to figure out what malicious activity looks like and how to catch it reliably. You'll spend time reading up on the lat

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