Description
The SGA Application Security team at S&P Global operates as a strategic security partner, combining Application Security, DevSecOps, Exposure Management, and AI Security capabilities to proactively reduce risk while enabling innovation.
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 across the enterprise.
- 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.
Requirements:
- Bachelor's degree in Cybersecurity, Computer Science, or Engineering.
- 6+ years of experience in Application Security, DevSecOps, secure software.
- Demonstrated proficiency in application security testing methodologies including SAST, SCA, DAST, threat modeling, and CI/CD security integration.
- Demonstrated experience integrating security controls into GitHub, Azure DevOps, Jenkins, or cloud-native delivery environments.
- Demonstrated experience using generative AI and AI-assisted development tools to build custom security tooling, scripts, integrations, or automations.
Preferred Qualifications:
- Experience with Model Context Protocol (MCP), AI agents, agentic architectures, tool calling, and retrieval-augmented generation for secure enterprise AI integration.
- Experience with cloud application security across AWS, Azure, and GCP, with understanding of cloud-native security controls in multi-cloud environments.
- Proficiency in Python, PowerShell, or equivalent scripting languages to automate and improve security operations at enterprise scale.
- Experience with software supply chain security initiatives including dependency governance, artifact management, provenance validation, and trusted package consumption.
- Demonstrated ability to communicate complex security risks to senior stakeholders and drive remediation across distributed engineering teams.
- Experience providing technical mentorship within security or engineering teams.
Compensation/Benefits Information: The anticipated base salary range for this position is $130,000 to $190,000.
Benefits:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.
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