Engages extensively with strategic partners and their senior stakeholders, including CXOs, Practice Leaders, Directors and senior technical leadership.
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
· Manage and/or contribute to the setup of environments to facilitate the integration, testing and acceptance activities required by the program. Provide instruction on the setup of environments to support validation activities.
We are looking for a professional who can take ownership of engineering deliverables, resolve technical challenges, lead site execution, and ensure that all works meet the required safety, quality, and operational standards.