Security Engineer (AI Vulnerability Management)

TL;DR

Security Engineer (AI Vulnerability Management): Building and maintaining automated systems for vulnerability discovery, prioritization, and remediation across cloud and application environments with an accent on AI-assisted workflows and scalable security tooling. Focus on developing CI/CD guardrails, improving security visibility, and coordinating responses to high-priority vulnerabilities in a modern cloud-native infrastructure.

Location: Must be based in or able to commute to Menlo Park, CA (Hybrid: 3 days/week in-office)

Salary: $122,000 – $185,000 USD (based on location zone)

Company

A mission-driven fintech company democratizing finance through innovative technology and high-performing engineering teams.

What you will do

• Build and maintain automation workflows for vulnerability discovery, prioritization, and remediation.
• Develop tooling and integrations connecting vulnerability findings with infrastructure context and threat intelligence.
• Create CI/CD guardrails to prevent security issues from reaching production.
• Support incident response for high-priority vulnerabilities and zero-day events.
• Build dashboards and reporting workflows to provide operational insights for engineering teams.

Requirements

• 3+ years of experience in security engineering, infrastructure security, or security automation.
• Proficiency in Python or Go for building scalable internal tools and automation.
• Experience with AWS, Kubernetes, or modern cloud-native infrastructure.
• Familiarity with vulnerability management concepts (CVSS, exploitability analysis).
• Must be a US citizen or lawful permanent resident.

Culture & Benefits

• Performance-driven compensation including bonus, equity, and 401(k) matching.
• 100% paid health insurance for employees and 90% for dependents.
• Flexible lifestyle wallet for wellness and learning.
• Employer-paid life, disability, fertility, and mental health benefits.
• Exceptional office experience with catered meals and collaborative workspaces.