Cybersecurity Engineer/AI Security Analyst - 723
- Source: LinkedIn
- DSM-H Consulting
- Remote
- United States
- Mid level
Job Description
Position’s Contributions to Work Group :
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Embeds application security into the SDLC by defining and improving security processes, standards, workflows, and Definition of Done criteria used by delivery teams.
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Performs AI-assisted and traditional security assessments of applications, APIs, cloud workloads, repositories, and supporting infrastructure.
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Manages repository scanning coverage — source code analysis, secret scanning, dependency analysis, and infrastructure review — and triages findings by exploitability, business impact, and severity.
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Drives remediation from discovery through verified closure, and reduces security debt, dependency vulnerabilities, and software supply chain exposure across the application portfolio.
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Builds security metrics, coverage reporting, and executive dashboards that give leadership visibility into remediation status and security posture trends.
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Champions a security-first culture through coaching, knowledge sharing, and documented best practices, helping application teams hit security objectives and ‘must-win’ business outcomes.
Typical task breakdown:
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Daily: review and triage new security findings from SAST, SCA, secret scanning, and dependency analysis; validate exploitability and prioritize by business impact.
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Daily: manual validation and security testing using Burp Suite, browser developer tools, API testing platforms, and secure code review.
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Daily/Weekly: drive remediation — create and groom backlog items, assign ownership, retest fixes, collect evidence, and verify closure.
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Weekly: participate in Scrum ceremonies (stand-up, backlog refinement, sprint planning, review) and maintain Agile work items, user stories, tasks, and defects.
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Weekly: partner with application teams on code fixes, configuration changes, infrastructure updates, and compensating controls.
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Monthly/Ongoing: security assessments of applications, APIs, and cloud workloads; metrics, coverage reporting, and executive dashboards; process and standards improvement.
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Ongoing: use AI tooling responsibly to accelerate analysis, threat modeling, code review, and documentation within governance controls; track emerging threats and AI-related security risks.
Interaction with team :
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High collaboration — works daily with architects, developers, DevOps engineers, product owners, and business stakeholders to communicate risk, negotiate priorities, and remove blockers.
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Operates across multiple applications, teams, portfolios, and technology stacks, often independently.
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Provides coaching and knowledge-sharing sessions to application teams.
Work environment :
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Monday through Friday, 1st shift; Agile/Scrum delivery environment.
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Fully Remote. Prefer a candidate in Chicago IL, Peoria IL, Dallas TX, Broomfield CO
Client will provide assets to the worker.
Education & Experience Required:
- Bachelor’s and/or Master’s degree in Computer Science, Cybersecurity, Information Systems, or a related field, or equivalent practical experience. 5-7 years of hands-on application security / DevSecOps experience (to be confirmed by Work Director).
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Required Technical Skills
(Required)
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Secure SDLC, DevSecOps, Agile, and Scrum methodologies — strong working understanding.
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Security tooling: Burp Suite, GitHub Advanced Security, CodeQL, SAST, SCA, secret scanning, dependency analysis, and CI/CD security tooling.
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Ability to read, analyze, test, and modify production application code in Java, Python, to validate security findings and support remediation efforts.
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OWASP Top 10, API Security Top 10, authentication/authorization controls, secure coding principles, and common attack techniques.
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Cloud security, identity and access management, and modern application architectures.
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Safe and effective use of AI-assisted development and security tools.
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Vulnerability triage and validation — exploitability, business impact, severity, compensating controls, and remediation guidance.
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Security metrics, coverage reporting, and executive dashboard development.
Soft Skills
(Required)
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Excellent communication, stakeholder management, presentation, and documentation skills.
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Ability to work independently across multiple applications, teams, portfolios, and technology stacks.
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Strong problem-solving mindset — balances security, usability, operational impact, and business objectives.
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Collaboration and influence — negotiates priorities and removes blockers…
Skills
- burpsuite
- Github
- codeql
- Java
- Python
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