Application Security Engineer

Application Security EngineerStrategy (Nasdaq: MSTR)    Tysons Corner, VA    Full-time, 5 days/week on-siteJob DescriptionJoin Strategy's IT Security group as an Application Security Engineer and play a crucial role in safeguarding Strategy's software applications by deploying AI-powered security tooling to protect the software development lifecycle at scale. You will be responsible for integrating security practices throughout the SDLC, ensuring our software products are resilient against vulnerabilities.ResponsibilitiesAI Security Governance: Evaluate and establish guardrails for the secure use of AI coding assistants (e.g., Copilot, Cursor, Claude) within the engineering organization, including policy development around AI-generated code review, training data exposure risks, and prompt injection vulnerabilities in AI-integrated applications.Secure SDLC Integration: Work closely with development teams to integrate security into the SDLC, including threat modeling, secure code reviews, and security testing.Vulnerability Management: Identify, triage, and remediate security vulnerabilities through static and dynamic application security testing (SAST/DAST) and software composition analysis (SCA) tools.Security Assessments & Penetration Testing: Conduct manual and automated penetration testing of web, mobile, and cloud applications to detect security flaws.Secure Code Review: Analyze source code using both manual review and AI-assisted code analysis tools (e.g., GitHub Copilot Autofix, Semgrep, or similar) to surface vulnerabilities earlier in the development cycle and deliver actionable, in-context remediation guidance to developers.Threat Modeling & Risk Analysis: Perform threat modeling to anticipate potential attack vectors and improve security architecture.DevSecOps Enablement: Support and enhance DevSecOps initiatives by integrating AI-assisted security automation within CI/CD pipelines, including AI-powered SAST/DAST tools and LLM-based code scanning to accelerate vulnerability detection at the point of commit.Incident Response & Remediation: Assist in investigating security incidents related to applications and work with engineering teams to remediate threats.Security Awareness & Training: Educate and mentor developers on OWASP Top 10, SANS 25, and other security best practices.QualificationsBachelor's degree in Computer Science, Engineering, or related fieldMinimum 2 years of software development or software security experience in an agile environmentHands-on experience applying Generative AI and/or ML to security use cases—such as vulnerability triage, threat detection, or secure code review automation—and a strong drive to stay current as AI security tooling evolves.Hands-on experience with SAST, DAST, IAST, and SCA tools (e.g., Checkmarx, Fortify, Veracode, SonarQube, Burp Suite, ZAP)Fluent in one or more programming languages, such as Python, Java, JavaScriptStrong knowledge of secure coding principles and application security frameworksFamiliarity with security tools (e.g., static and dynamic analysis tools, vulnerability scanners)Understanding of security standards and regulations (e.g., OWASP, NIST)Experience with cloud security best practices in AWS, Azure, or GCPFamiliarity with AI/LLM-specific security risks including prompt injection, model poisoning, insecure output handling, and the OWASP Top 10 for LLM Applications.Strong work ethic with a commitment to meeting business needs and effectively collaborating with global colleaguesEffective interpersonal skills; ability to collaborate successfully with both technical and non-technical stakeholdersAbility to articulate complex technical concepts with clarity, supported by effective written and verbal communication skills