And what if you don't have a standard library ? You're working on a new device, on a new language ?. Frameworks breed programmers with less adaptability, foundations breed problem solvers that can adapt across problems.
You just stereotyped about 100k people. You have no idea about how many people work to make the interview questions as interviewee friendly as possible. You may hate the company but don't judge the people without knowing them.
This is happening throughout the corporate world. Too many candidates for too few high-paying and elite positions.
My girlfriend works in finance and recently interviewed for a post-MBA position at (arguably) the top company for the work she does. She talked with other candidates, and discovered it was not uncommon to pay thousands of dollars on interview preparation (books, coaching sessions, etc.), and to spend, say, over 100 hours prepping in total... for interviews with a single firm... which you weren't even certain you'd be interviewing with. This trend is only accelerating.
The less pessimistic stance is to just say this is a consequence of greater specialization. The less optimistic stance is to say we are seeing professionalization for the sake of professionalization.
I'm not optimistic.
I say this as someone working for another FAANG whose HQ is not too far away from Google's, and as someone who spent 4 years in a math PhD program.
Not that where I worked wound not have built things from scratch - still whish I had had the budget to use ML for one project but with hard ware costs of £250,000 just for the hardware in early 80's it wasn't cost-effective.
I do systems for a living. There is no way I would be successful if all I knew were frameworks.