Klarna software engineer candidates report a reasoning test, practical coding, system design and behavioral rounds. Timelines and communication varied widely across experiences, so plan for delays.
$125K
Avg. Base Comp
$165K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Candidates describing Klarna's software engineer interviews most often mention an early abstract reasoning test, followed by coding, system design and behavioral conversations. Some describe it as an IQ-style test focused on pattern recognition. It mainly works as a filter, so get comfortable with the format before you sit it.
The coding stage often looks more practical than a typical algorithm screen. Candidates report pair programming on a project outline sent in advance, making changes to an existing code repository, and finishing semi-ready code tasks sent a day before. Others mention a take-home assessment that an interviewer then walked through with them, two easy Kattis problems, and a two-sum variant. Practice reading unfamiliar code, refactoring and explaining trade-offs aloud.
System design questions appear to vary by team and level. Reported prompts include microservices with databases and message queues, a producer-consumer messaging problem, and a ticketing SaaS platform. A lead-level candidate faced payments-domain questions and recommends preparing on payments systems. The common thread is explaining your reasoning and design choices rather than reciting a textbook answer.
Behavioral rounds reportedly cover Klarna's leadership principles, why you want to join or change jobs, and your past experiences. One senior candidate said feedback on this stage, about not showing enough senior-level experience, affected their outcome. Bring concrete examples that match your level.
Timing and closure were inconsistent. Reported experiences range from several weeks to four months, and several candidates describe long gaps or no final response. Ask your recruiter for next steps and get any offer details in writing.
Synthesized from 10 candidate reports by our editorial team.
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Design a reporting pipeline for a major tech company using only open-source tools under strict budget constraints.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial recruiter conversation covering background, role fit and expectations. One account puts it at 30 minutes. One candidate waited nearly a month to hear back before this stage began, so timing may vary.
Several candidates describe an abstract reasoning or IQ-style test early in the process, with one noting a focus on pattern recognition. It is described as fairly straightforward but works as a filter, so get familiar with the format beforehand.
Reports describe coding that leans practical. Examples include pair programming on a project outline sent in advance, changing an existing repository, semi-ready tasks sent a day before, a take-home assessment, and easy Kattis problems. One candidate reports a two-sum variant instead. Expect the format to vary by role and team.
Candidates report architecture discussions rather than whiteboard coding. Prompts mentioned include microservices with databases and message queues, a producer-consumer messaging design, a ticketing platform, and payments-domain questions at lead level. Interviewers reportedly want your opinions, examples and reasoning.
Candidates report behavioral questions about leadership principles, motivation for joining or changing jobs, and past experiences. One lead-level candidate describes a staff engineer round that doubled as a culture fit interview, followed by a team fit round. Outcomes varied: some candidates report offers, while others report no vacancy, a different offer or no response.
