Amazon.com Services LLC

Systems, Quality, Security Engineering, Systems Security Engineering, amazon security

SeniorSecurityEngineer,RiskEngineering

$143–248k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Security Engineer, Risk Engineering at Amazon.com Services LLC. Skills: Security engineering, Risk management, Data analytics. Design risk identification methodologies. Support development of risk identification methodologies”

What You'll Achieve.

Provide actionable risk insights; Provide data-driven risk insights

Industry & Context.

Systems, Quality, Security Engineering, Systems Security Engineering, amazon security
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, 5+ years of experience in security engineering, 3+ years focusing on security tooling, 3+ years focusing on risk management, Experience with data analytics, Experience with large-scale data processing, Track record of leading security initiatives, Track record of influencing cross-functional teams

Nice to Have

Master's degree in Computer Science, Master's degree in Cybersecurity, 8+ years of experience in security engineering, 3+ years focusing on security tooling, 3+ years focusing on risk management, Security certifications, Experience with cloud security, Experience with cloud infrastructure, Background in risk assessment frameworks, Background in risk assessment methodologies, Experience mentoring junior security engineers

What You'll Do.

Design risk identification methodologies

Support development of risk identification methodologies

Ideate new methods of risk identification

Validate output of security tooling

Drive innovation in security risk detection

Ensure security tooling output meets targets

Ensure security tooling output meets metrics

Partner with SRC teams

Partner with BST teams

Identify security risks

Mitigate security risks

Champion data-driven security practices

Provide technical leadership

How You'll Work.

Team & Collaboration

Cross-functional teams; Security teams; SRC teams; BST teams

Full Job Description

The SRC Risk Engineering team takes a scientific, data-driven approach to enhance security across Amazon's business lines. We develop state-of-the-art tools and platforms leveraging our centralized data lake to identify emerging security risks and support their mitigation. By collaborating closely with security teams, we proactively seek out opportunities to design creative solutions, leveraging advanced analytics and learning models to provide continuous and actionable risk insights. As a Senior Security Engineer, you'll drive the development of innovative risk identification methods and play a crucial role in shaping our security tooling ecosystem. This role offers the unique opportunity to work at the intersection of security engineering, data science, and risk management while protecting millions of customers worldwide. Key job responsibilities - Design and support the development of data-driven risk identification methodologies that scale across Amazon. - Ideate new methods of risk identification and validate the output of new security tooling leveraging advanced analytics and machine learning - Drive innovation in our security risk detection - Ensure security tooling output meets or exceeds established targets and metrics - Partner with SRC and BST teams to identify and mitigate security risks - Champion data-driven security practices and provide technical leadership across teams - Mentor team members and contribute to the security engineering community About the team The SRC Risk Engineering team takes a scientific, data-driven approach to enhance security across Amazon's business lines. We develop state-of-the-art tools and platforms leveraging our centralized data lake to identify emerging security risks and supporting their mitigation. By collaborating closely with security teams, we proactively seek out opportunities to design creative solutions, leveraging advanced analytics and learning models to provide continuous and actionable risk insights. The SRC

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