Application Security Lead

S&P Global•Princeton, NJ

13h

About The Position

The Application Security Lead is part of 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 closely with developers, and works on enterprise security transformation and emerging technologies. The role leads complex application security assessments and helps integrate security controls into developer workflows and cloud-native platforms. It provides security design guidance for applications, APIs, and cloud services; builds AI-enabled security tools and automations in line with enterprise governance; and partners with engineering, product, cloud, and risk teams to reduce systemic risk across the software development lifecycle. The position also provides technical leadership and mentoring and contributes to enterprise standards 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, 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 and attention to detail.
Excellent communication and presentation skills for technical and non-technical audiences.
Leadership and mentoring capabilities and a collaborative approach.
Adaptability to work 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 understanding of 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 testing, 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 provide guidance on secure architecture.
Design and implement AI-enabled application security tools, agents, and automations for security testing, triage, and remediation in accordance with 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.