Application Security Lead

About the Role: Grade Level (for internal use): 11 The Team: The SGA Application Security team operates as a strategic security partner, combining Application Security, DevSecOps, Exposure Management, and AI Security capabilities to proactively reduce risk while enabling innovation. Our collaborative, fast-paced culture emphasizes automation-first approaches, developer partnership, and continuous learning in emerging technologies. Team members gain exposure to enterprise-wide security transformation initiatives, AI-powered security tools, and opportunities to solve complex challenges that impact global engineering teams. Responsibilities and Impact: Lead complex application security assessments across multiple testing methodologies including SAST, SCA, DAST, API security, secrets detection, and threat modeling to identify and mitigate security vulnerabilities Drive integration of security controls into developer workflows across GitHub, Azure DevOps, Jenkins, and cloud-native platforms, implementing risk-based quality gates that enhance secure coding practices Perform comprehensive threat modeling and security design reviews for new applications, APIs, and cloud services, providing strategic guidance on secure architecture decisions Design and implement AI-enabled Application Security capabilities including custom tools, agents, and automations that improve security testing, triage, and remediation while meeting enterprise governance standards Partner with cross-functional teams including engineering, product, cloud, and risk stakeholders to resolve systemic application risks and establish scalable security controls across the SDLC Provide technical leadership and mentoring to security analysts and engineering partners while contributing to enterprise standards, procedures, and audit-ready documentation What We're Looking For: Basic Required Qualifications: Bachelor's degree in Cybersecurity, Computer Science, Engineering, or related field, or equivalent professional experience 6+ years of experience in Application Security, DevSecOps, secure software engineering, or penetration testing with hands-on technical expertise Strong knowledge of application security testing methodologies including SAST, SCA, DAST, threat modeling, secure design principles, and CI/CD security practices Experience integrating security controls into development platforms such as GitHub, Azure DevOps, Jenkins, and cloud-native delivery environments Practical experience using generative AI and AI-assisted development tools to build custom security tools, scripts, integrations, or automations Ability to lead technical engagements, communicate complex security risks to senior stakeholders, and drive remediation across distributed engineering teams Strong analytical and problem-solving abilities with attention to detail Excellent communication and presentation skills for technical and non-technical audiences Leadership and mentoring capabilities with collaborative team approach Adaptability to work in fast-paced, evolving technology environments Additional Preferred Qualifications: Knowledge of Model Context Protocol (MCP), AI agents, agentic architectures, tool calling, retrieval-augmented generation, and secure integration of AI with enterprise platforms Experience with cloud application security across multi-cloud environments such as AWS, Azure, and GCP with understanding of cloud-native security controls Strong automation capabilities and experience improving security operations at enterprise scale using scripting languages such as Python, PowerShell, or similar Experience with software supply chain security initiatives including dependency governance, artifact management, provenance validation, and trusted package consumption practices Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $120,000 to $150,000. Final base salary for this role w…

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