H2O.ai Software Engineer Interview Questions
& Process

Started with a recruiter call. Then the recruiter asked me to set up a meeting with the director. There were some issues with scheduling and their unprofessionalism. I got an invite and picked a time, but the recruiter's manager asked for an earlier time. I agreed, but the interviewer had an emergency and we had to reschedule again. On the new date, the interviewer emailed saying he'd be 30 minutes late for our hour-long interview, which was weird since it was already moved to later. He also said he was waiting for me. I joined and asked if the call was supposed to be today and if the later date was still okay. They rejected me soon after. The recruiter was helpful though, and she followed up with explanations when I gave feedback.

So I went through three interviews, two were technical and one was with HR. The whole thing lasted a bit over three weeks, and overall it was a pretty good experience. The last technical interview was a bit challenging for me, though.

This startup company doesn't have a rigid interview process. I interviewed for a Data Engineering role. It involved 5 rounds plus a coding challenge using H2O in Spark. I cleared all rounds with good feedback. They were flexible with interview timings, including weekends and late nights. Before an offer, I had a meeting with the CEO, who was quite rude and unprofessional, only available on Sundays. He didn't seem engaged during the interview and ultimately rejected me. The feedback was that I wasn't suitable because the role required both Data Engineering and customer support skills, and my experience was heavily skewed towards Data Engineering. This was disappointing as they initially emphasized the Data Engineering aspect.