
Brex Software Engineer interviews typically start with a recruiter screen and an object-oriented or CodeSignal technical screen, then move into onsite debugging, system design, and sometimes an AI-assisted coding round, plus a values-focused interview before a final decision.
$205K
Avg. Base Comp
$286K
Avg. Total Comp
4-6 rounds
Typical Rounds
Not reported
Process Length
Brex's Software Engineer process generally opens with a recruiter screen covering background and the role. In at least one account, the technical screen that followed was less about classic algorithm grinding and more about object-oriented design under time pressure. That candidate worked through a multi-part OOP exercise where finishing mattered more than polish, and learned afterward that not completing it was treated as close to an automatic rejection. An internship candidate instead started with two CodeSignal coding challenges focused on data structures and algorithms, so the screen format may vary by role and level.
Onsite loops described in the reports include a standard algorithmic coding interview and a debugging round where you fix issues in existing code; one candidate described working in a large codebase. Several candidates saw an AI-assisted coding session on their onsite schedule. One mid-level backend candidate said they had 50 minutes to build a production feature using Claude agents and attributed their rejection to spending too long scoping subagents instead of committing to code. A senior backend candidate's loop also listed a system design interview, though its format was unclear beforehand. A values interview appears repeatedly, with interviewers asking which company values resonate with you and how you handled disagreements with teammates. Another candidate stressed time management in a three-part technical round that included interviewer pushback and a bug to fix near the end. Practice explaining your reasoning concisely, and reserve time for debugging.
Synthesized from 12 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial recruiter or HR call covering their background and what the role entails. In one internship account, HR also explained the interview stages ahead.
One candidate faced a multi-part OOP-style exercise with an engineer, where speed and completion mattered and not finishing was reportedly close to an automatic rejection. An internship candidate instead completed two CodeSignal challenges on data structures and algorithms, and a mid-level backend candidate mentioned passing an online assessment, so the format may vary by role and level.
Onsite loops described include a standard algorithmic coding interview and a debugging round where candidates identify and fix issues in existing code; one candidate described working in a large codebase. Another candidate described a three-part technical interview with interviewer pushback and a bug to fix near the end, which made time management important.
A senior backend candidate's onsite schedule included a system design interview. The candidate did not know beforehand whether it would be a broad distributed-systems discussion or a lower-level object-oriented or API design exercise.
Several candidates saw an AI-assisted coding session on their onsite schedule. One mid-level backend candidate described having 50 minutes to build a production feature using Claude agents. They attributed not receiving an offer to spending too long scoping subagents instead of committing to a design and coding.
Candidates describe a behavioral and values interview asking which company values resonate with them and how they handled disagreements with teammates. One candidate was told the process would also include a technical deep dive on a past project and a closing conversation with a hiring manager or other senior stakeholder.