Great work culture, amazing colleagues, excellent benefits, and, most importantly, really challenging work.
After a while, you get too pigeon-holed into a specific role. Only x% of the people still get to work on awesome open source stuff; everyone else works on a giant, pretty much closed ecosystem, platform and tech stack wise.
Also, the company is getting too big, a little outside of everyone's comfort zone, with almost 0% work-life balance.
While taking on more work looks good on your appraisal, a ton of actually doing it ends up on your team. Just be aware of that.
Recruiters screen your resume for technical experience, projects, and academic performance. Highlight algorithmic problem-solving, coding projects, and internships. For students, include strong evidence of data structures & algorithms proficien
Very good interview process. The interviewer was on time, and basic programming questions were asked. The main topic was on algorithms and Python programming skills. I was asked to solve BFS and DFS, and also binary search.
Phone screen followed by three more technical rounds and one behavioural round. The entire process lasted about two months. The interviews were 45-60 minutes long and sometimes could get rearranged last minute. Overall, the process was okay.
Recruiters screen your resume for technical experience, projects, and academic performance. Highlight algorithmic problem-solving, coding projects, and internships. For students, include strong evidence of data structures & algorithms proficien
Very good interview process. The interviewer was on time, and basic programming questions were asked. The main topic was on algorithms and Python programming skills. I was asked to solve BFS and DFS, and also binary search.
Phone screen followed by three more technical rounds and one behavioural round. The entire process lasted about two months. The interviews were 45-60 minutes long and sometimes could get rearranged last minute. Overall, the process was okay.