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You will also work with team members and partners within our legal and engineering teams to develop proactive insider risk solutions. You will be effective both working independently and cooperatively across partner teams and able to contribute and deliver results. You will participate in building large scale, customized tools that enable you and the team to rapidly investigate, proactively detect, and increase collaboration across partner teams.This position involves on-call responsibilities, typically for one week every few months.Key job responsibilities
- Perform deep dive analysis of internal and external datasets to identify trends, anomalies, and activities indicative of insider threats;
- Collaborate with engineering teams to build and develop solutions and tools that identify and mitigate insider risk, as well as translate use cases into technical requirements;
- Develop feedback mechanisms to drive automation and optimization of analytics and tools;
- Provide guidance to peers, managers, and senior leaders on technical direction and improvement opportunities, and;
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
- 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
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