Function

• Join a team of security experts and Forward Deployed Security Engineers dedicated to helping enterprise customers secure cloud, application, DevSecOps, and AI environments.
• Work closely with customers, architects, and engineering leaders to design innovative security solutions that address complex business and technical challenges.
• Be part of a collaborative culture that values technical excellence, customer success, mentorship, and continuous innovation.
• Contribute to the development of reusable security frameworks, reference architectures, and best practices that drive measurable security outcomes.

• Lead customer security engagements and provide technical leadership across cloud security, DevSecOps, application security, and AI security initiatives.
• Translate complex security challenges into scalable architectures, implementation roadmaps, and production-ready security controls.
• Manage teams of engineers, oversee technical delivery, and drive successful outcomes from discovery and design through implementation, validation, and operational handover.
• Conduct threat modeling, architecture reviews, and security assessments across cloud platforms, applications, APIs, and AI systems.
• Define and implement DevSecOps strategies, security automation, CI/CD security controls, software supply chain protections, and remediation workflows.
• Guide the design and security of AI solutions, including LLMs, RAG architectures, vector databases, AI agents, and MLOps platforms.
• Manage project risks, dependencies, escalations, and stakeholder communications while balancing security, performance, delivery timelines, and customer requirements.

• 7+ years of cybersecurity experience with proven success leading engineering teams and delivering large-scale security programs.
• Strong leadership experience mentoring engineers, reviewing technical work, and managing multiple security workstreams simultaneously.
• Deep expertise in Cloud Security, including identity management, workload protection, container security, Infrastructure as Code (IaC), and enterprise security architecture.
• Proven experience implementing DevSecOps practices, CI/CD security controls, automated testing, software supply chain security, and remediation workflows.
• Strong background in Application Security, including threat modeling, architecture reviews, security assessments, and API security.
• Hands-on experience with AI Security, including LLMs, RAG, vector databases, AI agents, MLOps, model deployment, and model lifecycle management.
• Knowledge of AI-specific threats and controls, including prompt injection, data leakage, insecure retrieval, excessive permissions, unsafe tool execution, monitoring, and security testing.
• Excellent customer-facing communication skills with experience presenting to executives, architects, security leaders, and engineering teams.
• Bachelor's degree or equivalent practical experience; advanced cloud or security certifications (CISSP, CCSP, AWS Security Specialty, Azure Security Engineer, GCP Security Engineer) are preferred.

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