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Niche senior platform role with AI/ML infra focus and moderate employer brand, medium applicant competition.
Skills transferable across industries but AI/ML infra and regulated domain preference increase sensitivity.
Explicit 10+ years, leadership requirement, and mandatory Kubernetes/AWS/AI infra skills.
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Lead and grow a distributed Platform Engineering team building and operating a cloud-native compute platform on AWS and Kubernetes hosting AI/ML applications.
Own platform strategy, roadmap, operational excellence including 24/7 production support and incident management for a large-scale, multi-tenant platform.
Provide technical leadership in Kubernetes infrastructure, ensure security, scalability, reliability, and improve developer experience via self-service and standardization.
10+ years in Platform Engineering or Site Reliability Engineering.
2+ years leading engineering teams focused on AI Infrastructure or PaaS.
Strong expertise in Kubernetes platform management (AWS EKS, Azure AKS, or GCP GKE) and cloud-native architectures.
Experience operating large-scale, multi-tenant distributed platforms in production for AI/ML workloads.
Proven ability to balance technical strategy, execution, and people leadership in distributed teams.
Experience in regulated industries such as healthcare or medical devices is a plus.
Strong stakeholder management and operational excellence focus in platforms supporting AI/ML applications at scale.