Application Security Lead

About the Role:

Grade Level (for internal use): 11 The Team:
The SGA Application Security team operates as a strategic security partner, combining Application Security, Dev Sec Ops , Exposure Management, and AI Security capabilities to proactively reduce risk while enabling innovation. Our collaborative, fast-paced culture emphasizes automation-first approaches, developer partnership, and continuous learning in emerging technologies. Team members gain exposure to enterprise-wide security transformation initiatives, AI-powered security tools, and opportunities to solve complex challenges that impact global engineering teams.

• 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.
• Drive integration of security controls into developer workflows across Git Hub, Azure Dev Ops, 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.

• Bachelor's degree in Cybersecurity, Computer Science, Engineering, or related field, or equivalent professional experience.
• 6+ years of experience in Application Security, Dev Sec Ops , 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 Git Hub, Azure Dev Ops, 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 with attention to detail.
• Excellent communication and presentation skills for technical and non-technical audiences.
• Leadership and mentoring capabilities with collaborative team approach.
• Adaptability to work in fast-paced, evolving technology environments.

• 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 with understanding of cloud-native security controls.
• Strong automation capabilities and experience improving security operations at enterprise scale using scripting languages such as Python, Power Shell, or similar.
• Experience with software supply chain security initiatives including dependency governance, artifact management, provenance validation, and…