Devops Engineer

ML model development model. Devops will be setting up the environment, setting up the CICD environment for the platform. Devops engineers will be making sure the platform is up and running. Containerized in kubernetes. Deployment targets, moving into Walmart production state. Lots of automation, red tape processes. Is the object performing well? ML (How well is it performing, is the data changing?) Always looking for areas of improvement and making the environment easier for the devs. Infosec is going to be involved as well. GCP, Google, ML experience (Monitoring) Splunk, Grafana, prometheus. Python experience will be a plus. Code that assists w automation will be needed, and I need to understand the python code. Pyspark, Spark. No writing code, or translating it, that's the engineering devs issues. 

How detailed they are, what role did they play in previous implementations, any evidence of an Existing process and made it better. Situational tech questions of a broken system, how can we fix it? Large company experience w Kubernetes, Uber, Google, Meta, Amazon, Tesla, ETC. being able to understand all of the intricacies. Automation, CI'CD (setting up and configuring this process) Continual process improvement