Real, anonymous reports from people who interviewed for Software Engineer at Datadog, newest first and distilled into what to expect across the loop.
I was scheduled for a targeted troubleshooting-focused interview with the director for a systems engineer track, emphasizing technical diagnostic skills.
I went through a fairly standard FAANG-like Datadog loop that felt moderately to very challenging over the course of a few weeks.
Most candidates begin with a recruiter screen that covers their background, fit for the role, and logistics, typically lasting around 30 minutes. This initial conversation is often brief and may vary in depth, with some candidates feeling it lacks detail.
Candidates can expect multiple coding interviews focused on data structures and algorithms, often using LeetCode-style problems. The difficulty level can vary, with some reporting a mix of medium to hard problems across different rounds.
System design interviews are a key component, where candidates are asked to design architectures for various applications, often with a focus on trade-offs and real-world applications. This includes discussions on distributed systems and API-related challenges.
Behavioral interviews are common, focusing on candidates' past experiences, work style, and alignment with company values. Candidates are often asked to present projects they have worked on and discuss their impact.
The interview process is generally structured, spanning several weeks with clear timelines, but some candidates report inconsistencies in execution, such as interviewers not fully engaging or logistical issues affecting the flow. Preparation is emphasized across all rounds.
Candidates often do not receive final results or feedback after the interview process, leading to uncertainty. However, many note that the experience is valuable for understanding expectations and areas for improvement, even if they do not receive an offer.
