We are looking for Lead DevOps Engineer for ML Edge proof-of-concept.
You will be able to work remotely!

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.

-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

CloudDeploy, Python

-Set-up a DevOps environment for proof-of-concept ML Edge Demo together with ML ops and Edge-computing Arhictects

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. By leveraging Agile / Lean MVP methods, cutting-edge technologies, and an integrated approach to experience design and complex engineering, we empower global brands such as Microsoft, BMC, Coca Cola, Samsung, Physio Control, and Roku to develop the “next big thing” in their markets. GlobalLogic is headquartered in Silicon Valley and operates design and engineering centers around the world, where we are continuously recognized as a top innovator and employer by organizations like Zinnov and Glassdoor.

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Job posted on 8 September 2021
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