Hiring

In the olden days, we had résumés, and today, well, some of us still have résumés (or curriculum vitaes, if you prefer). But now, we also have social media profiles, which–to some folks–are the new résumés. They are the new first impression for the chronically online, the new first point of contact, the new first everything. And in the context of getting a job, these profiles and our Internet behavioural breadcrumbs are the new first thing that can get you hired or not hired. Let’s hope those recruiters don’t find your Reddit profile.

Anyone who’s worked in computers for any amount of time has likely experienced a deluge of recruiter spam over the years. Most recruiters use the same strategy men use on dating apps: spray and pray, ask questions later. The primary beneficiaries of this strategy are companies like Microsoft (the parent of LinkedIn), for which LinkedIn generates about $4bn in revenue per quarter (‼️) for their spam facilitation, according to their latest earnings report1.

People love to argue about the so-called “10x engineer”, which in the techie world refers to a computer person who produces 10x as much value as the average computer person (when discussing people who write software and their corresponding output). I want to correct something. The 10x engineer is a misnomer because it actually should be “The 100x Engineer”. Not only is the 100x engineer quite real, but most people wildly underestimate the value provided by the very best talent. One reason for this is that the human brain is very bad at understanding probabilities, distribution, compounding returns, and exponential growth.

We often must judge others, such as when hiring, choosing who to work with, or selecting friends and mates. I find that there are two attributes most desirable in people I associate with, which are authenticity and smartness. There are two simple heuristics for detecting bullshitters and smart people, which I’ll outline below.

The word on the street is there’s a “labour shortage”. If we look at the data, however, it tells a different story. I’ve heard theories about people retiring, or too many COVID excess deaths, or people being flush with cash because the government gave everyone a coulpe thousand bucks (which is about one month’s rent), but looking at the data I’m not seeing numbers that reflect most of those theories.

Software engineers are likely familiar with the CAP theorem, something coined by Eric Brewer. In short: the CAP theorem posits that distributed databases can have at most 2 of 3 attributes where a database is either consistent, available, or fault tolerant. In other words, you can have a DB that is consistent and highly available, but not fault tolerant. Or, you can have a DB that’s fault tolerant and highly available, but isn’t always consistent (especially in the event of failure).