I worked with a few teams during my time and always had good managers, teammates, and work-life balance.
I was able to work on a diverse array of products spanning offline, online, backend, frontend, and ML, which gave me a great starting point in my career to become a jack of all trades and learn about what I was interested in more.
My story is not applicable to all teams. Other teams within my org had terrible work-life balance and would need to work with multiple other teams that didn't have a good understanding of the tech.
As much as I liked my teammates and manager, I have had issues with PMs where they weren't that good but were so senior that they had a death grip on the product.
They promote drinking the Kool-Aid. Most conversations and docs are centered around the leadership principles. They have a strong emphasis on self-driven promotion, which can help curb discrimination but I found to be a burden and an excuse for your manager to be less invested in you.
Allow engineers to give their PMs yearly feedback, not just their managers.
The interview process involved four rounds: two coding, one behavior, and a final 1-on-1 with the manager. The first round was online, and the last one was in person. Questions were average LeetCode difficulty. What improvements have you made at y
It was alright. The people seemed to be a bit overwhelmed by their work, and one arrived late, but it's okay. They were algorithm questions. I recommend practicing algorithm questions when preparing for Amazon interviews.
The interview focused on typical DSA, system design, and behavioral questions. Some interviewers were engaged, while others seemed distracted. Overall, it was not a bad experience. I was recommended for a frontend role, but the headcount was removed
The interview process involved four rounds: two coding, one behavior, and a final 1-on-1 with the manager. The first round was online, and the last one was in person. Questions were average LeetCode difficulty. What improvements have you made at y
It was alright. The people seemed to be a bit overwhelmed by their work, and one arrived late, but it's okay. They were algorithm questions. I recommend practicing algorithm questions when preparing for Amazon interviews.
The interview focused on typical DSA, system design, and behavioral questions. Some interviewers were engaged, while others seemed distracted. Overall, it was not a bad experience. I was recommended for a frontend role, but the headcount was removed