Lead the design, build, and operation of enterprise AI/ML infrastructure platforms at scale, managing technical strategy, team leadership, and end-to-end platform roadmaps. Own Kubernetes cluster lifecycle management across bare-metal, cloud, hybrid, and air-gapped environments, with deep expertise in GPU scheduling, AI inference serving, and multi-tenant isolation.… Balance hands-on technical contribution with directing multiple engineers, driving platform reliability and downstream team velocity while navigating compliance, security, and regulatory constraints. Communicate infrastructure trade-offs, delivery risk, and resourcing needs to engineering teams, architects, and senior leadership.
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