Lead DevOps Engineer for ML Edge proof-of-concept Offline
Description:
Our client is a prominent worldwide known provider of virtualization solutions is looking for DevOps Engineer to join a team of a new innovative service mesh product startup.
The project demands a paragon of architecture, efficient reliable implementation, and the usage of contemporary cloud solutions.
Requirements:
-Strong understanding of K8S environments and ecosystems.
-AWS configuration and management knowledge
-Configuring CI/CD pipelines
-Operational experience in managing Kubernetes clusters. Knowledge of K8S APIs
-Experience with VCX, Scripting
-Communicative and smart-minded person to quickly grasp new knowledge
Would be a great plus
-Good knowledge of Python
-Experience testing cloud infrastructures
-Experience in cloud development e.g. micro-services
-Experience in Tanzu Kubernetes Grid
-Experience with VMware Tanzu and vSphere
Preferences:
CloudDeploy, Python
Responsibilities:
-Set-up a DevOps environment for proof-of-concept ML Edge Demo together with ML ops and Edge-computing Arhictects
The job ad is no longer active
Job unpublished on
1 October 2021
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