Real, anonymous reports from people who interviewed for Software Engineer at Compass, newest first and distilled into what to expect across the loop.
I went through a fairly straightforward, low-stress loop that still tested multiple things end to end. After a recruiter touchpoint, I had a technical screen focused on debugging, then an onsite that felt like three rounds stacked together: a coding/DSA-style task, engineering-focused questioning, and then another debugging round where I was handed a buggy script to fix.
My process felt more stressful because the structure didn’t quite line up with what I was told to expect. I started with recruiter coordination, and then the interviews moved into a multi-round technical onsite format where each round ran for about an hour with multiple interviewers across the loop. HR had described one thing, but what I actually got in the rooms didn’t match well, and the whole start time ended up being late.
The initial recruiter call is generally positive, with many candidates noting clear communication about the role and expectations, although some experienced delays or lack of follow-through afterward.
Candidates typically undergo a technical screen focused on data structures and algorithms, often using platforms like Karat or CoderPad, with some reporting a fast-paced, question-heavy format that can feel rushed.
The onsite interviews are structured into multiple rounds, including coding, system design, and behavioral discussions, but candidates report variability in the quality and focus of the questions, leading to mixed experiences.
Behavioral interviews are present but often feel less in-depth than expected, with some candidates noting a focus on cultural fit that can feel vague or dismissive in feedback.
Candidates express that the difficulty of technical questions can vary significantly, with some finding the challenges unexpectedly hard, particularly in areas like advanced data structures or system design.
Post-interview communication is often criticized for being generic or automated, leading to a lack of clarity and closure for candidates regarding their performance and outcomes.
