I myself am currently going through an interview process for an SRE position at one of those companies. From what I've seen/read while preparing for this, algo

I myself am currently going through an interview process for an SRE position at one of those companies. From what I've seen/read while preparing for this, algorithms knowledge is not as crucial as for a software engineer role. That said, I think you still should know how to handle basic data structures (binary [search] tree, hash maps, AVL or Red Black trees, etc) and graph traversal algorithms. Unless you are specifically interested in working with networking related stuff, I wouldn't focus too much on this. I believe it would be a better use of your time to study things like: - File systems - Signals - System calls - Processes - Performance analysis: CPU, memory, disk, etc Get familiar with tools like vmstat, strace, etc. As for prep materials: - Read Google's SRE book [1]: this is useful to get a feel of how a big company like google handles its infrastructure. - Grab Advanced Programming in the Unix Environment and plow through it as much as you can [2]. *Do the exercises*. - Read at least the CPU, disk and memory parts of Systems Performance by Brendan Gregg [3] I strongly recommend Brendan Gregg's by due to the troubleshooting sections. I find them very useful. Also note that it is not that easy to get an interview just by sending your résumé to their websites. I tried this and never got a response. (I think this is to be expected, due to the sheer volume of applications these companies receive). Then a friend of mine referred me and I got to participate in the interview process. Having a referral will make the task of getting an interview much easier. - [1]: https://landing.google.com/sre/interview/ben-treynor.html - [2]: http://www.brendangregg.com/sysperfbook.html - [3]: http://www.apuebook.com/apue3e.html EDIT: Added comment about getting an interview.