About the Role:
Grade Level (for internal use):
12 The Team:
The SGA Application Security team operates as a strategic security partner, combining Application Security, DevSecOps, 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.
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
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
What We're Looking For:
Basic Required Qualifications:
Bachelor's degree in Cybersecurity, Computer Science, Engineering, or related field, or equivalent professional experience
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 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
Additional Preferred Qualifications:
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, PowerShell, or similar
Experience with software supply chain security initiatives including dependency governance, artifact management, provenance validation, and trusted package consumption practices
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by…