Security Engineer, Threat Detection

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

43% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Security Engineer, Threat Detection Arlington, Virginia, USA 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

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