Engineering, Cybersecurity, Application Security Engineer, Vice President
TPG Inc.Fort Worth, TX · Senior
Listed on TPG Inc.’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
TPG seeks a senior application security expert to lead secure development of AI and agentic systems across the firm's software stack. This role suits experienced security professionals who want to embed security into AI workflows and partner directly with engineering teams on cutting-edge risk challenges.
Our summary, not TPG Inc.’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- C#
- CI/CD
- GitHub Actions
- Go
- Infrastructure as Code
- Java
- JavaScript
- Jenkins
- JSON Web Token (JWT)
- Kubernetes
- Microsoft Azure
- Model Context Protocol
- Python
- Security Assertion Markup Language (SAML)
- Serverless Computing
- TypeScript
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What they ask for
Required
- 3+ years application or product security experience
- 7+ total years in software development and information security combined
- Experience securing generative or agentic AI systems, or demonstrated hands-on knowledge of LLM and agentic AI security risks applicable in production
- Deep knowledge of OAuth 2.0, OpenID Connect, SAML, JWT, and identity/access pitfalls
- Strong SDLC knowledge and experience embedding security into developer workflows
- Hands-on familiarity with DevOps/CI-CD pipelines and modern deployment practices including Kubernetes and serverless
- Experience with SAST, DAST, SCA, and manual secure code review
- Understanding of OWASP Top 10, CWE, and CVSS scoring
- Knowledge of web, API, and cloud application security risks
- Ability to read code in Python, JavaScript/TypeScript, Java, C#, or Go
- Strong written and verbal communication skills
- Ability to influence engineering teams without direct authority
- Sound judgment and risk-based decision-making
Nice to have
- Bachelor's degree in Computer Science, Information/Cyber Security, or related field, or equivalent experience
- Hands-on experience with AI agent frameworks, tooling, and Model Context Protocol
- AI red-teaming, adversarial LLM testing, or building AI security guardrails and evaluation pipelines
- CSSLP, GIAC GWAPT, OffSec OSWE, CISSP, or recognized AI security certification
- Experience securing cloud-native environments on AWS, Azure, or GCP
- Experience with infrastructure-as-code
- Ability to integrate security tooling into GitHub Actions, GitLab CI, or Jenkins
- Hands-on GitHub Advanced Security experience
- Familiarity with NIST Secure Software Development Framework, OWASP SAMM, or software supply chain security including SLSA
- Financial services or regulated industry experience
- Prior experience mentoring developers or leading secure-by-design programs