Application Security Lead

S&P Global•Princeton, NJ

About The Position

The Application Security Lead will join S&P Global’s SGA Application Security team, a strategic security partner bringing together Application Security, DevSecOps, Exposure Management, and AI Security capabilities. The team uses automation-first approaches, partners with developers, and works on enterprise security transformation initiatives and emerging technologies, including AI-powered security tools. The role leads complex application security assessments and helps embed security controls into development workflows and cloud-native delivery environments. It provides security design guidance, develops AI-enabled security capabilities, partners across engineering, product, cloud, and risk teams to address systemic risks, and provides technical leadership and mentoring. The position also contributes to enterprise security standards, procedures, and audit-ready documentation.

Requirements

Bachelor’s degree in Cybersecurity, Computer Science, Engineering, or a related field, or equivalent professional experience.
At least 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, and Jenkins, and into 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, explain complex security risks to senior stakeholders, and drive remediation across distributed engineering teams.
Strong analytical and problem-solving abilities and attention to detail.
Excellent communication and presentation skills for technical and non-technical audiences.
Leadership and mentoring capabilities and a collaborative approach.
Adaptability in fast-paced, evolving technology environments.

Nice To Haves

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, including cloud-native security controls.
Strong automation capabilities and experience improving security operations at enterprise scale using Python, PowerShell, or similar scripting languages.
Experience with software supply chain security initiatives, including dependency governance, artifact management, provenance validation, and trusted package consumption practices.

Responsibilities

Lead application security assessments using SAST, SCA, DAST, API security, secrets detection, and threat modeling.
Integrate security controls into developer workflows across GitHub, Azure DevOps, Jenkins, and cloud-native platforms, including risk-based quality gates.
Conduct threat modeling and security design reviews for applications, APIs, and cloud services, and guide secure architecture decisions.
Design and implement AI-enabled application security tools, agents, and automations for security testing, triage, and remediation while meeting enterprise governance standards.
Partner with engineering, product, cloud, and risk stakeholders to resolve systemic application risks and establish scalable SDLC security controls.
Provide technical leadership and mentoring to security analysts and engineering partners.
Contribute to enterprise standards, procedures, and audit-ready documentation.