I know that every junior dreams of joining a FAANG and I think it is a great way to learn because you will join great engineers. But I do think you could become a great engineer too by working for great IT companies that have great products. For instance Adobe, Red Hat
Thanks!
I know that every junior dreams of joining a FAANG and I think it is a great way to learn because you will join great engineers. But I do think you could become a great engineer too by working for great IT companies that have great products. For instance Adobe, Red Hat
Agreed, you can become a great engineer working at non-FAANG companies. Scope of the work is what matters most
I couldn’t agree more!
I actually wrote an article on how we define levels in our Data Science discipline. And you will not see tenure or specific technologies listed there.
You will see though 6 dimensions to measure an individual: scope, expertise, delivery, build the right thing, build it right and run it right.
(Haven’t been able to migrate my article from Medium to Substack - I’ll get there. In the meantime this is a friend link to bypass the paywall)
https://towardsdatascience.com/how-to-build-a-competency-framework-for-data-science-teams-9b5271fd2b8e?sk=fc6f8a45e5b8d267dcc74513b77e8246
I wonder if the reason why banks have so many VP SWE is to pay them salaries competitive with FAANG (because they have a set salary table).
Well they could just raise salaries without changing titles to be competitive but they haven’t according to levels.fyi.
Inflating titles is a way to attract people to work at these companies without paying them more.
Great points mentioned.
This relates well: https://www.junaideffendi.com/p/why-job-titles-matter
Yep, there is some value in some titles (it depends as always though)