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The job ad is no longer active
Job unpublished on 1 October 2021

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