Principal Infrastructure Security Engineer

This senior security engineer role owns security architecture and enforcement across the infrastructure, focusing on Linux hardening, threat detection, and identity access control. The engineer will implement policy-as-code, secure CI/CD pipelines, and establish guardrails for AI and agentic systems. The role requires deep Linux expertise, cloud-native security experience, and a pragmatic approach to security.

This role leads the design and implementation of security architecture for Lambda's AI cloud infrastructure, ensuring robust protection across networks, systems, and data. The architect will define security standards, conduct threat modeling, and collaborate with engineering teams to embed security into the platform. Requires deep expertise in cloud security, identity management, and compliance frameworks.

The Security and Infrastructure Engineer is responsible for designing, implementing, and maintaining secure and scalable infrastructure. The role involves automating security controls, monitoring for threats, and collaborating with engineering teams to ensure security best practices are embedded in the infrastructure.

This principal platform engineering role leads the design and development of complex software systems, leveraging deep expertise in .NET, Azure, and microservices architectures. The engineer makes critical technical decisions and drives architectural direction for the platform.

Diese Rolle als Principal AI Engineer bei Zeta Global definiert die KI/ML-Architektur und die technische Roadmap und leitet prädiktives ML, agentische Frameworks und Produktionsentwicklung. Erforderlich sind tiefe Expertise in Ranking, Empfehlung und Optimierung sowie praktische Erfahrung mit LLM-Anwendungen und agentischen Workflows. Zu den Aufgaben gehören MLOps/LLMOps, Evaluierung und technische Führung über mehrere Teams hinweg.

Leads programmatic analytics and strategy for key client accounts, designing measurement frameworks and driving complex testing initiatives such as brand lift, incrementality, and A/B experiments. Consults with clients on marketing program alignment, translates business challenges into analytical solutions, and leads client-facing communication on campaign strategy and performance insights. Owns the QBR process, establishes testing methodologies, and uses Python, SQL, Tableau, and advanced analytics techniques to optimize campaign impact and efficiency.

Supports the delivery of media dashboards and audience creation across multiple client accounts. Oversees project management, pixel/tag implementation and validation, and coordinates with third-party vendors to ensure accurate data flows.