Datadog Software Engineer Interview Guide

The process was longer than I expected, but it was pretty well organized. I went through a recruiter screen first, then two coding rounds, a system design round, and separate behavior and values conversations. The recruiter was actually helpful about what to expect and gave me tips on what to focus on for each stage, which made the whole thing feel less opaque than a lot of other interview loops.

What stood out most was that the questions felt tied to the actual work. One of the coding exercises was not a LeetCode-style puzzle at all, but a practical problem that seemed close to day-to-day work at Datadog. The design round went into pipeline architecture, Linux internals, and fault tolerance, so it helped to really know those fundamentals instead of just talking in broad terms. There was also an AI coding round where they watched how I worked through the problem, so thinking out loud and making steady progress mattered as much as landing on the final answer. The hiring manager round was more about a past project and behavioral questions, and they pushed on what went wrong, not just the polished version of the story.

Overall it wasn’t especially hard, just broad. I also had a shorter technical conversation in the process that was very chill, with a project discussion and two LeetCode mediums, so the exact loop can feel a little different depending on the team. I ended up not getting an offer from the longer process, but the experience itself was fair and the interviewers were prepared and easy to talk to. If you’re preparing, I’d focus on Linux fundamentals, be ready to walk through a project end to end, and practice explaining your reasoning clearly while you code.