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About the Role:
- Secure AI-powered systems at the core of our AWS-based platform (LLM-integrated features, agentic workflows, MCP connectors, and model supply chain) against threats like prompt injection at production scale.
- Blend deep application security expertise with strong engineering fundamentals, focusing on integrating security into every phase of the SDLC.
- Own security architecture and development of secure coding practices while partnering with engineering teams to build defensible architectures.
What You Will Do:
- Lead threat modeling and security architecture reviews with engineering teams by translating security risks into concrete development actions.
- Architect, build, and maintain security tooling and integrations that make secure development the default in our CI/CD pipelines.
- Design and deploy automated security testing to identify vulnerabilities early in the development process.
Must Haves:
- 5+ years of experience in application security engineering roles, ideally securing AWS or comparable cloud-native environments.
- Strong programming skills in Python, Go, Java, or JavaScript/TypeScript; you write and read production code.
- Expertise in web application security including OWASP Top 10, authentication/authorization, cryptography, and secure API design.
Abnormal Security
Abnormal Security protects the humans behind the world's most critical organizations from AI-powered cybercrime. More than 4,500 enterprises trust its behavioral AI platform.