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Amazon Security Engineer Enterprise Protection Program 
United States, Washington, Seattle 
168164876

Today
Description

This position involves on-call responsibilities, typically for one week every six months.
Key job responsibilities
• Perform deep dive analysis of internal and external datasets to identify trends, anomalies, and activities indicative of insider risks;
• Collaborate with engineering teams to translate use cases into technical requirements, as well as develop, implement, and refine scalable security solutions to identify and mitigate insider risk;
• Assist with identifying and driving opportunities to automate and optimize insider risk analytics, tooling, and processes;
• Contribute to promoting security best practices for identifying and mitigating insider risk by fostering opportunities to collaborate with other EPP and Amazon Security teams, as well as external industry partners, and;
• Provide guidance to peers, managers, and senior leaders on technical direction and improvement opportunities for insider risk analytics, tooling, and processes.
About the team
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.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


Basic Qualifications

- Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language
- Experience with AWS products and services
- 2+ years of experience using internal and external datasets to analyze and identify trends, anomalies, and activities of threats
- 2+ years experience analyzing diverse and large datasets using SQL or other analytical tools