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> The current system is already gamed and virtually standardized. This is only remotely true if you're looking at a very narrow slice of software development j

> The current system is already gamed and virtually standardized. This is only remotely true if you're looking at a very narrow slice of software development jobs. Those companies and jobs are overrepresented here, but remember that even in the US the majority of developers do not work at recognizable "tech companies." Much less the rest of the world. I've been a professional software developer for over a decade, changed jobs many times, and never done an intense algorithm interview and I haven't been going out of my way to avoid them. I've even worked at some startups, though never one based in NY or SF. A handful of massive tech companies and their practices are disproportionately influential but they are not actually the norm speaking broadly.

Apocryphon 2y ago
You're not wrong, but Triplebyte exists to service that very narrow (but very well-funded, very lucrative, and very influential) segment, and so does this site, the fund behind this site, and most of the commenters in this thread.
- Scubabear68 2y ago
  True. Except that should be past-tense. Triplebyte existed to serve a narrow market, and failed largely because of that narrow view. I think people really do underestimate how much FAANG and Silicon Valley practices have skewed the viewpoint of engineers and technology jobs in the United States. Not just in terms of comp, but in terms of architectural and technology approaches as well. Most of what the big guys do works for them at their enormous scales, but are plain dumb for the vast majority of companies and use cases. Yet we are all infected by the FAANG approach.
stevula 2y ago
This might be a regional thing, but I have done probably around 100 technical interviews in my career (both enterprise and startups) mostly in the Bay Area and the vast majority of these involved algorithm questions that had no relation with the job function. Most were around the difficulty of "find the largest palindrome in a string" or "reverse a singly linked list". On the harder end were things like "serialize and deserialize a tree".
- shagie 2y ago
  > and the vast majority of these involved algorithm questions that had no relation with the job function. Consider the problem that you're hiring a software engineer and the company has has openings in several different teams that only have the job title in common. Do you have four different sets of problems that are related to job functions? Does the interview take four times longer? Or do you extend offers to a dozen software developers this week and then have the teams that have the most need / the applicant appears to be best suited for add the headcount there? If you are giving the same interview to all the candidates (so that you're trying to eliminate bias of asking different questions of different people) ... would that not tend to be solved by asking more abstract questions that are then compared to an agreed upon rubric as to which candidates were "meets expectations"? ... And what if it is for one team that has one set of problems... Do you have the candidates sign NDAs so that you can show them the actual problems that you then go pursue if something leaks? And if today's actual problem is solved tomorrow (unrelated to the applicants solution ... though I've experienced some "here is some real problems we are having" and startups trying to get an hour or two of consulting time for free with no intent to hire), do you give a different interview for someone next week? The standardized and unrelated work means that you're not accidentally getting in trouble with HR with some bias in the questions or running afoul of FSLA by having someone do uncompensated work that might be related to real things being done.
- rachofsunshine 2y ago
  I'll defend this a little bit in the sense that "had no relation to the job function" is just kind of unavoidable in interviews, or at least hard to avoid without paying major costs. The only way to have an interview that even comes close to reflecting real work is a pretty long take-home, and there are good arguments for not doing those (not least that most candidates really don't want to). But yeah, the entangling of algorithms questions and coding questions is unfortunate. They're just separate skills. Some people are excellent coders who think "big-O" means something obscene, and some people are a walking discrete math textbook who can't problem-solve to save their lives. Triplebyte split (and Otherbranch splits) the two into separate sections, with coding problems explicitly designed NOT to require any of the common textbook algorithms. It's sometimes a little darkly funny how quickly a particular sort of candidate folds when asked to do something novel that steps outside what they've been able to memorize.

Apocryphon 2y ago

You're not wrong, but Triplebyte exists to service that very narrow (but very well-funded, very lucrative, and very influential) segment, and so does this site, the fund behind this site, and most of the commenters in this thread.

Scubabear68 2y ago
True. Except that should be past-tense. Triplebyte existed to serve a narrow market, and failed largely because of that narrow view. I think people really do underestimate how much FAANG and Silicon Valley practices have skewed the viewpoint of engineers and technology jobs in the United States. Not just in terms of comp, but in terms of architectural and technology approaches as well. Most of what the big guys do works for them at their enormous scales, but are plain dumb for the vast majority of companies and use cases. Yet we are all infected by the FAANG approach.

stevula 2y ago

This might be a regional thing, but I have done probably around 100 technical interviews in my career (both enterprise and startups) mostly in the Bay Area and the vast majority of these involved algorithm questions that had no relation with the job function. Most were around the difficulty of "find the largest palindrome in a string" or "reverse a singly linked list". On the harder end were things like "serialize and deserialize a tree".

shagie 2y ago
> and the vast majority of these involved algorithm questions that had no relation with the job function. Consider the problem that you're hiring a software engineer and the company has has openings in several different teams that only have the job title in common. Do you have four different sets of problems that are related to job functions? Does the interview take four times longer? Or do you extend offers to a dozen software developers this week and then have the teams that have the most need / the applicant appears to be best suited for add the headcount there? If you are giving the same interview to all the candidates (so that you're trying to eliminate bias of asking different questions of different people) ... would that not tend to be solved by asking more abstract questions that are then compared to an agreed upon rubric as to which candidates were "meets expectations"? ... And what if it is for one team that has one set of problems... Do you have the candidates sign NDAs so that you can show them the actual problems that you then go pursue if something leaks? And if today's actual problem is solved tomorrow (unrelated to the applicants solution ... though I've experienced some "here is some real problems we are having" and startups trying to get an hour or two of consulting time for free with no intent to hire), do you give a different interview for someone next week? The standardized and unrelated work means that you're not accidentally getting in trouble with HR with some bias in the questions or running afoul of FSLA by having someone do uncompensated work that might be related to real things being done.
rachofsunshine 2y ago
I'll defend this a little bit in the sense that "had no relation to the job function" is just kind of unavoidable in interviews, or at least hard to avoid without paying major costs. The only way to have an interview that even comes close to reflecting real work is a pretty long take-home, and there are good arguments for not doing those (not least that most candidates really don't want to). But yeah, the entangling of algorithms questions and coding questions is unfortunate. They're just separate skills. Some people are excellent coders who think "big-O" means something obscene, and some people are a walking discrete math textbook who can't problem-solve to save their lives. Triplebyte split (and Otherbranch splits) the two into separate sections, with coding problems explicitly designed NOT to require any of the common textbook algorithms. It's sometimes a little darkly funny how quickly a particular sort of candidate folds when asked to do something novel that steps outside what they've been able to memorize.