The other day I read this piece by David Byttow on “How to land an engineering job”. And I don’t fully agree with his assertions.
I do agree, of course, that one must always be writing code. Not writing code is the worst that can happen to a software engineer.
But some details are where our opinions diverge. I don’t agree that you should know the complexities of famous algorithms and data structures by heart, and I do not agree that you should be able to implement them from scratch. He gives no justification for this advise, and just says “do so”. And don’t get me wrong – you should know what computational complexity is, and what algorithms there are for traversing graphs and trees. But implementing them yourself? What for? I have implemented sorting algorithms, tree structures and the likes a couple of times, just for the sake of it. 2 years later I can’t do it again without checking an example or a description. Why? Because you never need those things in your day-to-day programming. And why would you know the complexity of a graph search algorithms if you can look it up in 30 seconds?
The other thing I don’t agree with is solving TopCoder-like problems. Yes, they probably help you improve your algorithm writing skills, but spending time on that, rather than writing actual code (e.g. as side-projects) to me is a bit of waste. Not something you should not do, but something that you don’t have to. If you like solving those types of problems – by all means, do it. But don’t insist that “real programmers solve non-real-world puzzles”. Especially when the question is how to get an software engineering job.
Because software engineering, as I again agree with David Byttow, is a lot more than writing code. It’s contemplating all aspects of a software system, using many technologies and many levels of abstraction. But what he insists is that you must focus on lower levels (e.g. data structures) and be expert there. But I think you are free to choose the levels of abstraction you are an expert in, as long as you have a good overview of those below/above.
And let’s face it – getting an engineering job is easy. The demand for engineers is way higher than the supply, so you have to be really incompetent not to be able to get any job. How to get an interesting and highly-paid job is a different thing, but I can assure you that there’s enough of those as well, and not all of them require you to solve freshman year style problems on interviews. And I see that there is this trend, especially in Silicon Valley, to demand knowing the computer science components of software engineering by heart. And I don’t particularly like it, but probably if you want a job at Google or Facebook, then you do have to know the complexities of popular algorithms, and be able to implement a red-black tree on a whiteboard. But that doesn’t mean every interesting company out there requires those things, and does not mean that you are not a worthy engineer.
One final disagreement – not knowing exact details about the company you are applying at (or is recruiting you), is fine. Maybe companies are obsessed with themselves, but when you go to a small-to-medium sized company that does not have world-wide fame, not knowing the competition in their niche is mostly fine. (And it makes a difference whether you applied, or they headhunted you.)
But won’t my counter-advise land you a mediocre job? No. There are companies doing “cool stuff” that don’t care if you know Dijkstra’s algorithm by heart. As long as you demonstrate the ability to solve problems, broad expertise, and passion about programming, you are in. That includes (among others) TomTom, eBay, Rakuten, Ericsson (those I’ve interviewed with or worked at). It may not land you a job at Google, but should we focus on being good engineers, or on fulfilling Silicon Valley artificial interview criteria?
So far I’ve mostly disagreed, but I didn’t actually give a bullet-point how-to. So in addition to the things I agree with in David’s article, here’s some more:
- know a technology well – if you’ve worked with a given technology for the past year, you have to know it in depth; otherwise you seem like that guy that doesn’t actually know what he’s doing, but still gets some of the boilerplate/easy tasks.
- show that software engineering is not a 9-to-5 thing for you. Staying up-to-date with latest trends, having a blog, GitHub contributions, own side projects, talks, meetups – all of these count.
- have broad expertise – being just a “very good Spring/Rails/Akka/…” developer doesn’t cut it. You have to know how software is designed, deployed, managed. You don’t need to have written millions of lines of CloudFormation, or supported a Puppet installation by yourself, but at least you have to know what infrastructure and deployment automation is. (Whew, I managed to avoid the “full-stack” buzzword)
- know the basics – as pointed out above, you don’t have to know complexities and implementations by heart. But not knowing what a hashtable or a linked list is (in terms of usage patterns at least) hurts your chances significantly. Knowing that somethings exists when you need it is the practical compromise between knowing how to write it and not having the faintest idea about it.
- be able to solve problems – usually interviewers may usually ask a hypothetical question (in fact, one that they recently faced) and see how you attack the problem. Don’t say you don’t have enough information or you don’t know – just try to solve it. It may not be correct, but a well-thought attempt still counts.
- be respectful. That doesn’t mean overly-professional or shy, but assume that the people interviewing you are just like you – good developers that love creating software.
That won’t guarantee you a job, of course. And it won’t get you a job at Google. But you can land a job where you can do pretty interesting things on a large scale.