I've a bachelors in CS, and then recently graduated from Georgia Tech(OMSCS). I've been a Software Engineer and Team lead/EM implementing and consulting SaaS technologies for almost all of my 10 year career(SAP/Salesforce/Workday). The money is good, I work in one of the top 4 consulting companies in the Silicon Valley. I'm just plain bored now and feel that my reason to get up in the morning doing the same kind of work and implementations is going down.
I'd want to get into something interesting next. I'm looking to do something in Python/Go next, but I don't know where/how to start, looking to either get into Infrastructure (AWS/ Kubernetes/GCP) or into Machine Learning. I'm trying to pick them up, and I've the following questions:
1. How do I get started on these? There are just ton of things online, and i'm genuinely not sure where to start. Do I get a Data Science nanodegree/ How do I get started on K8/AWS/GCP?
2. How do you stick with them? Since I don't get to use Python/Go in my real life, since most of these SaaS implementations usually use vanilla JS, in some cases zython and the tools’ own scripting language, it's very hard to "use" what I learn in step #1. How did you go about using it everyday?
3. If I'm able to somehow complete both 1 and 2, how do I pivot? Do I start off as an entry level engineer and go from there? I'm genuinely interested in how others did it, I do have a lot of experience in Software Architecture, Design Patterns, writing code as a discipline, reviewing code, version control etc., just not in the aforementioned areas.
It's also important to mention that I'm originally from UK and on a work visa with a family here in the US, so maintaining a job(here in US) at least for the next couple years because of other family commitments(spouse is in Univ) and a kid is important.