Hi, This community has been immensely helpful so far and looking for some guidance on how to prep for top tier companies like Google, Meta, Netflix, DoorDash, Apple, Dropbox. I may be wrong putting them all in the same bucket in terms of hiring bar. But the point is no matter what, Iām not able to pass the phone screen for these companies. I have offers from companies like Expedia(SDE-3), Goldman Sachs(VP), Microsoft (61), oracle(IC3), TripActions(IC3) , Sysdig but I am not able to pass the phone screen itself. And most of the offers Iām getting lower offer as compared to my YOE. The kind of feedback Iām getting is Iām bit slow.. but my take is I walk through the entire input set in order to imbibe the algorithm in my head and that gives me confidence and a picture of the algorithm so it becomes easier to code when I start writing. I feel this takes a long amount of time. Did anyone face the same. Also, when I pull up LC list for letās say Apple. The moment I see the most frequently asked question Iām taken aback by the level of complexity of question(hard) that are being asked. I jump onto solution within 5-7 mins in rush to capture the essence of approach and move to next. Does it really happen that you are able to solve hard questions you never saw automatically with practice ? I want to religiously understand how do i approach my problem solving what strategy to follow to not get blacked out when a not ever seen kind of question pops up. P.S: started prep after long time(3 years) ā¦started studying 3 months back. YOE-3.5 yrs Thanks a lot in advance. #interview #faang #netflix #dropbox #twitter #software #engineering #apple #google #noogler
Itās a sad day when people need to optimize to pass interviews rather then just being great at their job. LC culture is ruining the industry and creating such a formulaic pattern that anyone with enough tenacity can eventually crack the code and waltz in. My recommendation for you is to keep trying as 3 months is not enough time to get the hang of an unseen LC hard. It sounds like youāre close - so just keep going.
It's flawed but there isn't a better way now. LC gives high true positive but also high false negatives which I think companies are willing to risk.