Senior AI-Driven Secure Code Reviewer

Vanguard

Dallas (TX)

Hybrid

USD 120,000 - 170,000

Full time

5 days ago
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Job summary

Vanguard seeks a (Senior) Secure Code Reviewer to join the Threat Modeling & Validation team. You will perform secure code reviews of internally developed applications, identify vulnerabilities, validate findings, and provide developers with practical remediation guidance.

The role blends manual expertise with AI analysis to catch issues before release. The ideal candidate combines application security and software development experience, with hands-on skills in AI tooling and modern programming

Qualifications

  • Minimum 5 years in application security, secure code review, or security-focused software engineering.
  • Strong understanding of OWASP Top 10 and secure SDLC practices.
  • Experience with modern APIs, cloud-native apps, and CI/CD pipelines.

Responsibilities

  • Performs manual and AI-assisted secure code reviews across modern application stacks.
  • Develops prompts, workflows, and review methodologies for AI-assisted reviews.
  • Validates findings and reduces false positives.
  • Produces clear technical reports and risk-based recommendations.
  • Partners with development teams to explain findings and provide remediation guidance.
  • Collaborates with penetration testers, threat modelers, and security teams.
  • Contributes to automation initiatives and team processes.

Skills

Secure code review
Application security
SAST tools
AI tooling
Java
C#
Python
JavaScript/TypeScript
Go
DevSecOps
Communication with developers

Education

Undergraduate degree in a related field

Tools

Checkmarx
Fortify
Veracode
Semgrep
SonarQube

Job description

Vanguard seeks a (Senior) Secure Code Reviewer to join the Threat Modeling & Validation team. You will perform secure code reviews of internally developed applications, identify vulnerabilities, validate findings, and provide developers with practical remediation guidance.

The role blends manual expertise with AI analysis to catch issues before release. The ideal candidate combines application security and software development experience, with hands-on skills in AI tooling and modern programming

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