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The Substrate Auth Quality and Defense team is seeking a security engineer with expertise in penetration testing, threat modeling, risk assessment, and scaled security tooling usage to help safeguard authentication and access control mechanisms. The ideal candidate will proactively identify and propose mitigation to vulnerabilities across authentication stacks, leveraging both manual and automated testing approaches. Responsibilities include conducting offensive and defensive security assessments as well as developing and running dynamic token simulation. You will also get the opportunity to drive the adoption of AI-enhanced security tools and participate in code and configuration reviews to ensure robust protection against emerging threats. The role focuses on measurable risk reduction and operational efficiency. While pure software engineering experience is not required, hands-on security experience and the ability to work across organizational boundaries are essential. You will also contribute to incident response, metrics-driven process refinement, and the cultivation of a "secure by design" culture within the organization. This position offers the opportunity to shape the future of identity and authentication security, working alongside top experts and partner teams to deliver impactful results.
Job Responsibility:
Conducting Research
Industry Leadership
Orchestration
Solution Generation
Requirements:
Master's Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field AND experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field AND experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master's Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field AND experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection (enterprise experience)
OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field AND experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection (enterprise experience)