Senior Security Engineer, AI Vulnerability Management

📋 Description

• Set RBVM vision; define multi-year roadmap; prioritize by exploitability and business context.
• Architect Agentic AI systems; triage findings; auto-remediation PRs for deps and drift.
• Build exposure intelligence; relate vulns to runtime context and topology (Kubernetes/AWS).
• Automate triage & self-healing; CI/CD guardrails prevent vulns reaching production.
• Data-centric visibility; dashboards using LLM summaries for engineering leadership.
• Lead emergency response; orchestrate cross-environment analysis for high-impact zero-days.

🎯 Requirements

• 5+ years in Security Engineering; led automation or security platform initiatives.
• AI & Agentic System Fluency: hands-on with agentic systems or LLM orchestration (LangChain, AutoGPT).
• Bug bounty & exploit proficiency; experience with attacker techniques.
• Engineering Excellence: strong Go or Python; API-driven security tooling.
• Modern Infrastructure Depth: knowledge of AWS and Kubernetes.
• Vulnerability Domain Knowledge: familiarity with CVSS, EPSS, CISA KEV.

🎁 Benefits

• Fintech Experience: security in regulated or high-growth financial environments.
• Security as Code: implementing Security as Code in large CI/CD environments.