Cyber Security Analyst III - App Security & Vulnerability (Remote)

• Perform static (SAST), dynamic (DAST), and software composition analysis (SCA) to identify vulnerabilities in applications and third-party components
• Analyze scan results, triage findings, and prioritize remediation efforts based on risk
• Partner with development teams to remediate vulnerabilities and improve secure coding practices

Vulnerability Management

• Conduct regular security assessments and vulnerability scans across applications and environments
• Validate and reproduce vulnerabilities, including false positive elimination
• Track and report vulnerability metrics, risk trends, and remediation progress

Security Tools & Automation

• Configure, deploy, and maintain security scanning tools (e.g., Checkmarx, Veracode, Fortify, Snyk, Burp Suite, OWASP ZAP)
• Automate security testing processes using scripting or APIs
• Improve scanning efficiency and coverage through tuning and optimization

We are seeking a highly skilled Cyber Security Analyst with a strong background in application security and vulnerability management. This role focuses on identifying, analyzing, and mitigating security risks across software development pipelines using SAST, DAST, and SCA tools. The ideal candidate combines hands-on technical expertise with knowledge of modern security practices and emerging technologies, including AI/ML., Bachelor's Degree and 6 years of experience in Information Security OR High School Diploma or GED and 10 years of experience in Information Security, * Hands-on experience with:

• SAST, DAST, and SCA tools
• Web application security testing (OWASP Top 10, API security)

• Strong understanding of:

• Secure software development lifecycle (SDLC / DevSecOps)
• Common vulnerabilities (e.g., injection, XSS, authentication flaws)

• Proficiency in one or more programming/scripting languages (e.g., Python, Java, JavaScript, Bash)

• Experience interpreting and prioritizing scan results and remediation plans, * Experience integrating security tools into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps)

• Familiarity of container and cloud security (AWS, Azure, GCP)

• Familiarity with AI/ML concepts and security implications

• Industry certifications such as:

• CEH, Security+, SSCP, GIAC or comparable.

Key Skills

• Strong analytical and problem-solving skills
• Provide risk-based recommendations to stakeholders
• Ability to communicate technical findings to both technical and non-technical stakeholders
• Experience working cross-functionally with development and engineering teams
• Attention to detail with a risk-based security mindset

Nice-to-Have Experience

• API security testing tools (Postman, SoapUI)

• AI-assisted security tooling (e.g., anomaly detection, code analysis assistants)

• Knowledge of regulatory frameworks (NIST, ISO 27001, SOC 2)

• AI/ML & Emerging Technologies

• Leverage AI/ML-based security tools for enhanced detection and analysis

• Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)

• Participate in securing AI-driven applications and data pipelines

Threat Analysis & Risk Management

• Assess potential threats and attack vectors relevant to applications and APIs
• Apply threat modeling techniques (e.g., STRIDE) during development lifecycle