• Define and drive the long-term technical strategy for Docker AI Cloud’s control and data plane services • Architect highly available, multi-region systems capable of operating seamlessly across multiple cloud providers • Design APIs and service abstractions that integrate Docker Desktop, Hub, and enterprise cloud services • Establish standards for reliability, scalability, and observability across the Docker AI Cloud platform • Lead cross-functional technical discussions and influence architectural decisions company-wide • Design and implement distributed systems for workload orchestration, service discovery, and lifecycle management • Build and operate control plane components that manage multi-tenant workloads and cloud networking • Develop infrastructure that delivers predictable performance, intelligent scaling, and automated failover • Ensure security, data integrity, and compliance across Docker’s global infrastructure footprint • Partner with platform and product teams to deliver developer-friendly APIs and cloud experiences • Align technical direction with Docker’s business objectives for cloud growth and developer platform unification • Evaluate emerging technologies (e.g., service meshes, container orchestration, edge computing) and guide adoption • Drive initiatives that reduce latency, optimize cost, and improve cross-cloud performance • Define metrics and SLAs for Docker AI Cloud’s reliability and scalability • Mentor senior, staff and principal engineers, fostering technical excellence and growth across teams • Lead design reviews and guide critical production system decisions • Drive a culture of operational excellence, ownership, and innovation • Collaborate with engineering and product leadership to align priorities and resource planning