Diverse spectrum of engineering roles and tasks revolving around databases, cloud, AI, and more. Generally nice, helpful, and open people to work with. A lot of great talent to learn from.
It depends on the team/department.
There is increasingly demanding and fast-paced work, especially around the AI realm. Sometimes there's a lack of proper assertiveness from managers towards their superiors, which might stabilize the workload for the engineers.
At times, there's too much focus on "making an impact" instead of "doing good and proper work".
The interview experience was positive. I completed two rounds: coding and expertise. Despite reaching out multiple times for feedback, I did not hear back from the recruiter. The interviewer himself indicated that I performed well.
Initial online assessment. I don't recall if it was a coding assessment or one of those brain teaser assessments with shapes and other nonsense. Good luck.
The process began with a 90-minute OA that included two algorithmic questions and a couple of SQL-based logic puzzles. The next round was a technical phone interview where I coded live and was asked to reason through edge cases and trade-offs. I mov
The interview experience was positive. I completed two rounds: coding and expertise. Despite reaching out multiple times for feedback, I did not hear back from the recruiter. The interviewer himself indicated that I performed well.
Initial online assessment. I don't recall if it was a coding assessment or one of those brain teaser assessments with shapes and other nonsense. Good luck.
The process began with a 90-minute OA that included two algorithmic questions and a couple of SQL-based logic puzzles. The next round was a technical phone interview where I coded live and was asked to reason through edge cases and trade-offs. I mov