Application Security Lead

S&P Global•Princeton, NJ

14h•$120,000 - $150,000

About The Position

The Application Security Lead will work within S&P Global’s SGA Application Security team, a strategic security partner combining Application Security, DevSecOps, Exposure Management, and AI Security. The team uses automation-first approaches, partners closely with developers, and works on enterprise security transformation initiatives and emerging technologies. This role leads application security assessments and secure design reviews, integrates security controls into developer workflows, and develops AI-enabled security capabilities. It partners with engineering, product, cloud, and risk stakeholders to reduce systemic application risks and establish scalable controls across the software development lifecycle. The position also provides technical leadership and mentoring, and contributes to enterprise 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 SAST, SCA, DAST, threat modeling, secure design principles, and CI/CD security practices.
Experience integrating security controls into platforms such as GitHub, Azure DevOps, Jenkins, and cloud-native delivery environments.
Practical experience using generative AI and AI-assisted development tools to build 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, with 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 AWS, Azure, and GCP, including cloud-native security controls.
Strong automation capabilities and experience improving enterprise-scale security operations using Python, PowerShell, or similar scripting languages.
Experience with software supply chain security, including dependency governance, artifact management, provenance validation, and trusted package consumption.

Responsibilities

Lead application security assessments using SAST, SCA, DAST, API security, secrets detection, and threat modeling to identify and mitigate vulnerabilities.
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 advise on secure architecture decisions.
Design and implement AI-enabled application security tools, agents, and automations for 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 mentorship to security analysts and engineering partners.
Contribute to enterprise standards, procedures, and audit-ready documentation.