
The Rokt software engineer process runs 5 to 6 stages over roughly 3 to 5 weeks, starting with a timed cognitive and personality assessment, followed by a one-way video interview, a take-home technical exercise, a live coding round, and a 2 to 3 interview onsite covering system design, algorithms, and behavioral questions. The process screens heavily for both raw aptitude and values fit, with the cognitive test acting as a hard early filter before candidates ever speak to an engineer. A dedicated “Bar Raiser,” a senior leader from outside the hiring team’s direct function, conducts the final interview focused solely on values alignment and is a required step for every role.
Immediately after applying, candidates receive an automated link to complete a timed cognitive test consisting of 50 questions in 15 minutes covering pattern recognition, math, and word placement, followed by a separate personality questionnaire. This assessment acts as a hard filter before any human contact occurs, and many candidates report receiving automated rejections with no feedback after completing it. One candidate described it as “a glorified IQ and personality test, purely used just to cut down the stack of people they need to go through.”
Based on candidate reports

Candidates who clear the assessment are invited to a HireVue-style asynchronous video interview, typically consisting of two behavioral questions answered to a camera with two minutes to prepare and three minutes to respond per question. There is no live interviewer. One commonly asked question is how the candidate uses AI tools to improve efficiency in their daily work.
Based on candidate reports

Following the one-way video, candidates receive a take-home exercise, typically involving a working React application rather than pure algorithmic problems. The exercise is reported as relatively straightforward in scope, though the specific technologies it uses do not always match what comes up in subsequent live interviews.
Based on candidate reports

A live 45-minute virtual coding session follows the take-home, with one interviewer who works through an initial problem and then introduces follow-on variations. Interviewers are reported to give hints when candidates get stuck. One candidate noted the session “began with an easy coding problem and followed with a few related problems” in a format that felt conversational rather than adversarial.
Based on candidate reports

The system design round runs 60 minutes and focuses on distributed systems and scalable architecture. One reported prompt asked candidates to first design a scraper to import login data from S3 into a database, then address how to serve those logins end-to-end within 100 milliseconds, making it a two-stage problem within a single round.
Based on candidate reports

The final stage is a bar raiser interview conducted by a senior leader, often at the C-level, from outside the direct hiring team, mirroring Amazon’s bar raiser model. The focus is on values alignment and personal resilience rather than technical ability, with questions like “what has been the biggest challenge in your personal life” reported by multiple candidates. One candidate described the round as “quite engaging and in depth,” while others found the C-level involvement unexpected given the abstraction from the actual role.
Based on candidate reports

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