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# Application Security, Analyst

- **Company:** Vanguard
- **Location:** Charleroi, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software System Penetration Testing, C Sharp (Programming Language), Code Generation, Code Review, Cyber Security, Continuous Integration, Python (Programming Language), Machine Learning, Open Web Application Security, Software Architecture, Systems Development Life Cycle, Fortify (Software), Secure Coding, Software Engineering, SonarQube, TypeScript, Spring Cloud, Large Language Models, Software Security, Veracode, Generative AI, Agentic-AI, Checkmarx, Devsecops, Static Application Security Testing, Vulnerability Analysis
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/application-security-analyst-charlotte-nc--50d4d9b2-20c9-4294-818c-295556632ee4

## About the Role

Applications Security, Security Analysis, Computer Security, Artificial Intelligence (AI), Code Reviews, Analysis Skills, Risk, Communication Skills, Team Player, Penetration Testing, * Minimum of 3 years of related work experience in application security, secure code review, or software engineering with a security focus.

 * Understanding of secure coding principles, application security vulnerabilities (OWASP Top 10 and common application vulnerabilities), and secure software development practices.
 * Familiarity with modern software architectures, APIs, cloud-native applications, and CI/CD pipelines.
 * Familiarity with Java, C#, Python, JavaScript/TypeScript, Go, or similar languages.
 * Familiarity with SAST tools such as Checkmarx, Fortify, Veracode, Semgrep, or SonarQube as well as familiarity with secure SDLC and DevSecOps practices
 * Familiarity with generative AI or AI-assisted developer/security tools used in software development, code review, or security testing activities.
 * Ability to communicate security findings and remediation guidance to developers and technical teams.
 * Undergraduate degree in a related field or the equivalent combination of training and experience.
 * Experience creating prompts, workflows, agents, or automations preferred
 * Familiarity with LLM security risks, prompt injection, insecure code generation, model misuse, and AI application attack vectors preferred
 * Familiarity with applications that utilize machine learning, generative AI, agentic AI, or AI-enabled business processes preferred

## Description

* Performs manual and AI-assisted secure code reviews across modern application stacks, analyzing source code to identify vulnerabilities, logic flaws, and insecure coding practices.
 * Utilizes established prompts, workflows, and review methodologies to support AI-assisted code review activities.
 * Reviews and validates vulnerability findings identified through automated and AI-assisted analysis.
 * Produces clear technical reports and risk-based recommendations.
 * Works with development teams to communicate findings and support remediation efforts.
 * Collaborates with penetration testers, threat modelers, and application security teams.
 * Supports team processes, methodologies, and automation initiatives.