Function

• Join a team of security leaders, architects, and Forward Deployed Security Engineers focused on solving complex customer security challenges across cloud, DevSecOps, application security, and AI environments.
• Work in a highly collaborative, customer-facing environment where technical excellence, innovation, and operational delivery are key to success.
• Partner with enterprise customers, engineering teams, and executive stakeholders to build secure, scalable, and production-ready security programs.
• Contribute to the development of reusable frameworks, security standards, reference architectures, and best practices that drive measurable security outcomes.

• Lead customer security engagements and manage teams of Forward Deployed Security Engineers, providing technical leadership and oversight throughout the delivery lifecycle.
• Drive security architecture design, threat modeling, risk assessments, and implementation roadmaps across cloud platforms, applications, APIs, DevSecOps pipelines, and AI systems.
• Define and implement enterprise security controls, including workload protection, identity security, software supply chain safeguards, CI/CD security gates, and automated remediation workflows.
• Guide AI security initiatives by designing secure LLM, RAG, vector database, agent-based, and MLOps architectures while addressing threats such as prompt injection, data leakage, unsafe tool execution, and excessive permissions.
• Manage project risks, dependencies, escalations, and operational handovers while ensuring successful delivery against customer security, compliance, and business objectives.

• 7+ years of cybersecurity experience with proven success leading engineering teams, mentoring security professionals, and delivering large-scale security programs across multiple workstreams.
• Deep expertise in cloud security, application security, DevSecOps, identity and access management, container security, Infrastructure as Code (IaC), CI/CD, and software supply chain security.
• Strong knowledge of AI and machine learning security, including LLMs, RAG architectures, vector databases, AI agents, model deployment, model lifecycle management, and MLOps practices.
• Exceptional customer-facing communication skills with experience conducting technical discovery sessions, presenting to executive stakeholders, and articulating security risks, trade-offs, and recommendations.
• Bachelor's degree or equivalent practical experience; advanced security or cloud certifications such as CISSP, CCSP, AWS Security Specialty, Azure Security Engineer, or Google Professional Cloud Security Engineer are highly preferred.

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or related field (or equivalent practical experience).
• Industry certifications such as CISSP, CCSP, AWS Certified Security Specialty, Azure Security Engineer Associate, Azure Solutions Architect Expert, Google Professional Cloud Security Engineer, CISM, or GIAC certifications.
• Experience delivering customer-facing security consulting or professional services engagements.
• Experience building reusable security frameworks, reference architectures, playbooks, and operational standards.

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