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Create CVApplication Security Engineer resumes are filtered through a fundamentally different ATS logic than cloud security or SOC roles.
These requisitions are calibrated around:
•Secure SDLC integration
• Code-level vulnerability identification
• Threat modeling authority
• Developer collaboration
• Security tooling embedded in CI/CD pipelines
If your resume reads like a generic cybersecurity profile without deep application-layer security signals, it will not rank in competitive enterprise pipelines.
This guide explains how modern ATS systems evaluate Application Security Engineer resumes and provides a system-aligned template engineered for high-ranking outcomes.
When an Application Security Engineer requisition is created, ATS engines typically score resumes across these weighted clusters:
•Secure Software Development Lifecycle experience
• Static and dynamic analysis tooling familiarity
• Code review and vulnerability remediation ownership
• Threat modeling participation
• DevSecOps integration
• Programming language exposure
• Compliance alignment in software environments
Unlike SOC roles, operational monitoring carries little weight here. Unlike cloud security roles, infrastructure hardening alone is insufficient.
The ATS is looking for application-layer risk ownership embedded within development workflows.
Listing vulnerabilities like XSS, SQL injection, or CSRF without explaining remediation within code repositories weakens ranking.
Systems look for proximity between:
•Programming languages
• Code repositories
• Pull request reviews
• Security tooling integration
If vulnerabilities are listed without development lifecycle integration, the resume is often categorized under generic cybersecurity.
Simply listing tools such as:
Burp Suite
Checkmarx
Veracode
Snyk
is insufficient.
ATS scoring improves when tools are described within CI/CD, automated scanning, and developer workflow environments.
Application Security Engineers are evaluated for cross-functional alignment with engineering teams.
High-value phrases include:
•Embedded security within Agile sprint cycles
• Conducted secure code training for developers
This template is engineered for development-centric security filtering.
Without collaboration signals, the system may classify the profile closer to penetration testing roles.
Use the exact title:
Application Security Engineer
Avoid broad titles such as:
Cybersecurity Engineer
Security Specialist
Information Security Analyst
Title normalization significantly impacts ranking.
Your summary must include:
•Application security specialization
• Programming language familiarity
• Secure SDLC exposure
• CI/CD security integration
• Regulatory or industry context
Application Security Engineer with 9+ years of experience embedding security within enterprise software development lifecycles. Specialized in secure code review, SAST and DAST integration, and threat modeling across Java and Python microservices architectures. Led DevSecOps initiatives securing CI/CD pipelines supporting SaaS platforms serving 5M+ users.
Notice the explicit linkage between code, pipeline, and scale.
Group competencies by application-layer security domains.
•Secure SDLC Integration
• Static and Dynamic Application Security Testing
• Secure Code Review and Pull Request Analysis
• Threat Modeling and Risk Assessment
• DevSecOps Pipeline Security Automation
• API Security Hardening
• Dependency and Open-Source Risk Management
• Secure Architecture Review
This format increases contextual keyword clustering for ATS ranking models.
Each role should demonstrate:
•Vulnerability discovery and remediation ownership
• Integration within development pipelines
• Developer collaboration
• Quantified risk reduction
• Secure architecture influence
Avoid listing generic penetration testing activities unless directly related to application security engineering.
Jonathan Hayes
San Francisco, CA
jonathan.hayes@email.com
linkedin.com/in/jonathanhayes
Senior Application Security Engineer with 11 years of experience integrating security controls within enterprise software development environments. Led secure SDLC implementation across Java and Python microservices platforms supporting 7M+ global users. Specialized in automated SAST and DAST deployment, threat modeling facilitation, and developer security enablement within Agile engineering organizations.
•Secure Software Development Lifecycle Design
• SAST, DAST, and SCA Tool Integration
• Secure Code Review and Vulnerability Remediation
• DevSecOps Automation within CI/CD Pipelines
• API and Microservices Security Hardening
• Threat Modeling and Architecture Risk Analysis
• Open-Source Dependency Risk Governance
• Developer Security Training and Enablement
Enterprise SaaS Technology Company
•Integrated SAST and SCA scanning into Jenkins CI/CD pipelines, reducing production vulnerability exposure by 46%
• Conducted secure code reviews across 120+ repositories in Java and Python environments
• Facilitated threat modeling sessions for new microservices architecture initiatives
• Defined remediation SLAs with engineering leadership, decreasing average fix time from 28 days to 11 days
• Implemented automated dependency vulnerability monitoring across 300+ open-source packages
Global E-Commerce Platform
•Led DAST deployment across customer-facing web applications processing 4M monthly transactions
• Identified and remediated critical injection vulnerabilities prior to production release
• Embedded within Agile sprint cycles to provide real-time security guidance during feature development
• Collaborated with DevOps teams to harden containerized application environments
•Certified Secure Software Lifecycle Professional (CSSLP)
• GIAC Web Application Penetration Tester (GWAPT)
• AWS Certified Developer Associate
Master of Science in Computer Science
University of California, Berkeley
Instead of listing:
Java
Python
Go
Use contextual phrasing:
Conducted secure code review across Java and Python microservices.
This strengthens semantic linkage between development and security expertise.
ATS systems prioritize measurable outcomes:
•Reduced vulnerability backlog percentage
• Decreased remediation cycle time
• Increased pre-production detection rate
• Lowered critical production incident frequency
Impact metrics increase ranking precision.
If infrastructure controls dominate the resume, classification may shift toward Cloud Security Engineer.
Maintain clear focus on:
•Code
• Application architecture
• Development lifecycle security
Application Security Engineer openings often attract:
•Experienced developers transitioning into security
• Penetration testers seeking engineering roles
• Cloud security professionals pivoting toward DevSecOps
Automated filtering eliminates a majority of resumes that lack secure SDLC depth.
To rank effectively, your resume must clearly demonstrate:
•Code-level security integration
• Development team collaboration
• Automated security within pipelines
• Measurable vulnerability reduction
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