Senior Security Engineer, AI Vulnerability Management

Added
18 days ago
Type
Full time
Salary
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Related skills

aws python kubernetes go langchain

πŸ“‹ Description

  • Set Strategic RBVM vision and multi-year roadmap.
  • Architect Agentic AI systems for triage and remediations.
  • Build exposure intelligence linking vulns to runtime context (Kubernetes/AWS).
  • Automate triage and self-healing with CI/CD guardrails.
  • Data-centric visibility with LLM-based summaries for leadership.
  • Lead emergency response to high-impact zero-days across environments.

🎯 Requirements

  • 5+ years in Security Engineering at Senior or Staff level.
  • AI and agentic systems fluency (LangChain, AutoGPT) for security at scale.
  • Bug Bounty experience and exploit proficiency.
  • Engineering excellence in Go or Python and API-driven tooling.
  • Modern infrastructure depth in AWS and Kubernetes.
  • Vulnerability domain knowledge: CVSS, EPSS, CISA KEV.

🎁 Benefits

  • Challenging, high-impact work to grow your career.
  • Performance-driven compensation with bonuses, equity, and 401(k) matching.
  • 100% paid health insurance for employees; 90% for dependents.
  • Lifestyle wallet: flexible benefits spending account.
  • Employer-paid life and disability insurance, fertility benefits, and mental health benefits.
  • Generous time off: holidays, PTO, sick time, parental leave.
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