Upvote
Downvote
AI Container Platform Engineer
Share Job
- Suggest Revision
- With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings.
- This includes collaboration with other team members to design and build a highly resilient Kubernetes container platform that is optimized for AI workloads on Intel accelerator hardware.
- Areas of responsibility for the AI Container Platform Engineer role include, but are not limited to the following:Work with others to design, build, and maintain a Kubernetes container platform on bare metal on-premises hardware.
- Participate in building advanced tooling for deployment, testing, monitoring, logging, administration, auditing, and operations of multiple Kubernetes clusters in distributed data centers.
- Research and implement solutions related to Kubernetes container RBAC, networking, storage, scheduling, registries, certificate management, and more to build a highly reliable, scalable, secure, and resource-optimized AI container platform.
Active Job
Updated 8 days agoSimilar Job
Relevance
Active