money, stocks, and other minor benefits. Some people are nice and competent.
Other people are toxic. "Break things fast" culture, no testing culture. You need to get your work into production quickly, and if it breaks, you fix it. If your manager is toxic, they will blame you. If you are careful and test your stuff, and they are toxic, they will push for progress.
People don't know what to do, what they are doing, or why. Managers don't know requirements. Product managers are very few and far from engineers, and nobody knows what they do. Projects start with no idea whether they are going to be useful or not, so if you work hard on something that is most likely going to fail, your "impact" is going to be minimal.
Managers do not listen to feedback. They shamelessly gaslight you, inviting you to practice a "growth mindset" while they ignore evident problems in their team/org.
When Andromeda, Alpha Centauri, and Orion align, the company hires random people with no experience in non-entry-level positions. The alignment happens quite often.
Typical FAANG interview. 4 parts, each with 1 technical question and 1 behavioral question. 1 system design question, 3 coding questions that target different things: * Requirement definition * Trade-offs in solution * A problem where the challenge
Based on the recruiter's email, I was expecting the conversation to include questions around my C++ coding skills and prior experience relevant to the role, and LeetCode-style coding in C++. However, the discussion only focused on the hiring manager
Three Data Science and Algorithm rounds were there. In each round, two questions of medium complexity were asked. After discussing the solution, I was asked to write the program. It was fine to use dummy code.
Typical FAANG interview. 4 parts, each with 1 technical question and 1 behavioral question. 1 system design question, 3 coding questions that target different things: * Requirement definition * Trade-offs in solution * A problem where the challenge
Based on the recruiter's email, I was expecting the conversation to include questions around my C++ coding skills and prior experience relevant to the role, and LeetCode-style coding in C++. However, the discussion only focused on the hiring manager
Three Data Science and Algorithm rounds were there. In each round, two questions of medium complexity were asked. After discussing the solution, I was asked to write the program. It was fine to use dummy code.