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Data Engineer: Platform-focused (Kubernetes req'd)

https://jobs.lever.co/tesorio/f77eaea4-4ff6-4718-b125-723513...

The ideal candidate for this role is NOT someone that can build a great model, rather they are good at building and maintaining a complex piece of infrastructure on Kubernetes and understand its common pitfalls. You should be strong at Python and SQL, a good communicator, and should be extremely reliable, able to own deliverables without dropping the ball. You must have 6+ years of experience as an engineer with 3+ years of production-level experience working with Kubernetes.

Our team is based in the San Francisco Bay Area, and we have a diverse, distributed workforce in five countries across the Americas. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work.



Kubernetes was released in July 2015. And given that no one would have directly jumped into using Kubernetes in production in 2015, how many people do you think have 3+ years of production-level experience now in early 2020?


It may be rare, but it's not absurd. I know at least 20 people in my city alone who meet that requirement, myself included. So long as they're willing to pay a premium, it's ok to ask for exceptional levels of experience.




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