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Build AI-assisted vulnerability management at Robinhood

Security Engineer role on Robinhood's Security Engineering team focused on evolving vulnerability management through automation, scalable tooling, and AI-assisted workflows across cloud and application environments. Based in Menlo Park (3+ days/week in-office), the interview digs into hands-on security automation, CVSS-based prioritization, and tool integrations like Snyk, Semgrep, Wiz, and TruffleHog.

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What this interview tests

  • Vulnerability discovery, prioritization, and remediation automation
  • CVSS and exploitability-based triage
  • Security tooling integration (Snyk, Semgrep, Wiz, EndorLabs, TruffleHog)
  • CI/CD security guardrails
  • Cloud-native infrastructure security (AWS, Kubernetes)
  • Zero-day/high-priority incident response coordination

Common question themes

Describe an automation workflow you built for vulnerability discovery or remediation

How do you use CVSS and exploitability analysis to prioritize what gets fixed first?

Tell me about integrating a security tool (Snyk/Semgrep/Wiz/TruffleHog) with infra or threat intel context

Describe a CI/CD guardrail you built to prevent security issues from reaching production

Walk me through supporting a high-priority vulnerability or zero-day response

Tell me about an internal security tool or API you built in Python or Go

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