
Staff Application Security Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Lead the technical vision and strategic roadmap for the Application Security team, ensuring alignment of security goals with Brex's enterprise growth and fast-paced engineering metrics.
• Set technical standards and secure defaults throughout the engineering organization, promoting a culture of collaborative security excellence while connecting product platforms, infrastructure, and trust.
• Design and secure innovative AI/ML and agentic workflows, employing advanced practices to mitigate risks such as prompt injection, model manipulation, and data poisoning.
• Mentor and coach engineers both within the team and the wider organization, fostering technical development, enhancing individual security expertise, and accelerating team delivery.
• Lead proactive vulnerability discovery and offensive security testing initiatives, executing sophisticated attack chains to illustrate business impact and prioritize cross-functional remediation.
• Collaborate with Product Platform, Cloud Infrastructure, and Data engineering teams to guarantee that core primitives, APIs, and microservices are secure by default from the design phase to deployment.
• 8+ years of experience in Application Security, Product Security, or software engineering with a primary emphasis on offensive and defensive application security.
• Demonstrated history of technical leadership and team mentorship on intricate, multi-quarter security engineering projects in a dynamic environment.
• Extensive proficiency and technical expertise in AI security, including practical experience securing agentic architectures, LLM gateways, and assessing adversarial AI threats.
• Strong systems-thinking abilities with significant experience in defining secure product development lifecycles, threat modeling complex topologies, and cloud-native container security (AWS, Kubernetes).
• Proficient in Python, Go, or similar languages for architecting internal tools, automating pipelines, and developing advanced detection/scanning engines.
• Outstanding written and verbal communication abilities, with a proven track record of navigating ambiguity, influencing technical leaders, and effectively managing relationships across EPD organizations.
• Familiarity with Kotlin, gRPC, GraphQL, and Kubernetes.
• Previous experience in building and scaling security teams.
• Experience securing distributed systems in AWS and cloud environments.
• Contributions to the broader technical community, including open source, public research, CTF participation, blogging, CVEs, or presentations.
• Experience submitting to bug bounty or responsible disclosure programs.
• Published research in AI security or contributions to AI security frameworks.
• Equity and other forms of compensation may be provided as part of a total compensation package.
• Tools, resources, and support to foster your career growth.
• A diverse and inclusive culture.
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