Security Intelligence Engineer, Amazon Cyber Threat Intelligence
Amazon - Herndon, Virginia, USA
Posted May 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- 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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- Salary
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- 401(k) match
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Schedule
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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 Intelligence Engineer, Amazon Cyber Threat Intelligence Herndon, Virginia, USA The Amazon Customer Ecosystems (ACES) team, part of Amazon Cyber Threat Intelligence (ACTI), is responsible for developing actionable intelligence on advanced cyber threats to Amazon ecosystems such as AWS, Ads and LEO their customers. We obtain indicators and other intelligence from a variety of internal and external sources and use that information to develop an understanding of sophisticated actors and their tools, techniques, and procedures (TTPs). We leverage that understanding to proactively identify and mitigate malicious activity. The successful candidate will analyze both attributed and unattributed actor TTPs to generate intelligence and insights into current threats. A deep understanding of current cyber threat actors as well as experience performing question-driven analysis is required. As a Security Intelligence Engineer, you will help enhance our capabilities by identifying new data sources, formulating new analytic techniques, and working across teams to drive their supporting capabilities. You will likewise work to harness expansive data sets and generate actionable and unique insights from them using database querying and statistical analysis. Your efforts will uncover previously-unknown threats and help drive innovation and continual improvement in the "state-of-the-art" of cyber threat intelligence analysis and dissemination at Amazon. This position requires that the candidate selected be a US Citizen. Key job responsibilities - Perform deep dive analysis of malicious artifacts. - Analyze large and unstructured data sets to identify trends and anomalies indicative of malicious activities. - Create security techniques and automation for internal use that enable you
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