Appsec Devops Cybersecurity Jobs

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Today

S&P Global New York, NY

New York, NY

Today

$0k+/yr Full time Ai Agent Security Ai Application Security Ai Security

Lead enterprise application security programs that span secure SDLC controls, security design reviews, and AI-enabled testing.

Lead complex application security assessments across multiple methodologies, including SAST, SCA, DAST, API security, secrets detection, and threat modeling to identify and mitigate vulnerabilities.
Drive integration of security controls into developer workflows across GitHub, Azure DevOps, Jenkins, and cloud-native platforms using risk-based quality gates to reinforce secure coding practices.
Conduct threat modeling and perform security design reviews for new applications, APIs, and cloud services; provide guidance on secure architecture decisions.
Design and implement AI-enabled Application Security capabilities, including custom tools, agents, and automations to improve security testing, triage, and remediation while meeting enterprise governance standards.
Collaborate with engineering, product, cloud, and risk stakeholders to address systemic application risks and establish scalable security controls across the SDLC.
Provide technical leadership and mentorship to security analysts and engineering partners; contribute to enterprise standards, procedures, and audit-ready documentation.

Bachelor's degree in Cybersecurity, Computer Science, or Engineering.
6+ years of experience in Application Security, DevSecOps, or secure software.
Proficiency with application security testing and design practices, including SAST, SCA, DAST, threat modeling, and CI/CD security integration.
Experience integrating security controls into GitHub, Azure DevOps, Jenkins, or cloud-native delivery environments.
Experience using generative AI and AI-assisted development tools to build custom security tooling, scripts, integrations, or automations.

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, including understanding of multi-cloud security controls.
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.
Ability to communicate complex security risk to senior stakeholders and drive remediation across distributed engineering teams.
Experience providing technical mentorship within security or engineering teams.

SAST, SCA, DAST, API security, secrets detection, threat modeling
GitHub, Azure DevOps, Jenkins, CI/CD, SDLC
Python, PowerShell
AWS, Azure, GCP
Model Context Protocol (MCP), AI agents, agentic architectures, tool calling, retrieval-augmented generation, generative AI

Annual incentive plan
Health care coverage designed for the mind and body
Generous time off
Access a wealth of resources to grow your career and learn valuable new skills
Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs
Family friendly perks for partners and little ones
Retail discounts
Referral incentive awards

Anticipated base salary range: $130,000 to $190,000
Final base salary based on geographic location, experience level, skill set, training, and licenses and certifications

Mission: Advancing Essential Intelligence.

Location: New York, NY (onsite)

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