The sheer scale at which Amazon operates makes you think out of the box. Plus, there is so much variety across the teams. You could change your teams and find yourself working on a completely new area. Hence, the possibilities to expand your horizons are enormous.
Workload can be a lot sometimes, but it is not a general trend. You can find both ends of the spectrum here, so it is very team-specific. However, a higher workload almost always translates to faster growth.
I have four consecutive interview rounds scheduled. These consist of: * Two Data Structures and Algorithms (DSA) rounds * One Low-Level Design (LLD) round * One High-Level Design (HLD) round Each round takes place on a separate day.
I was asked a data structure question that required deep knowledge of a rarely used algorithm. While I completed the code, I was marked down for minor optimization issues that the interviewer didn’t even give me time to address. It felt less like te
Pretty good. They scheduled 3 interviews, which went well. Then, they scheduled 2 more. Most interviews followed this format: * Coding questions * Technical questions * Behavioral questions I was rejected in the last round, which was the Bar Raiser
I have four consecutive interview rounds scheduled. These consist of: * Two Data Structures and Algorithms (DSA) rounds * One Low-Level Design (LLD) round * One High-Level Design (HLD) round Each round takes place on a separate day.
I was asked a data structure question that required deep knowledge of a rarely used algorithm. While I completed the code, I was marked down for minor optimization issues that the interviewer didn’t even give me time to address. It felt less like te
Pretty good. They scheduled 3 interviews, which went well. Then, they scheduled 2 more. Most interviews followed this format: * Coding questions * Technical questions * Behavioral questions I was rejected in the last round, which was the Bar Raiser