
Justworks Software Engineer candidates report a coding assessment followed by recruiter or manager conversations and an onsite that may cover debugging, system or API design, and behavioral collaboration.
$138K
Avg. Base Comp
$193K
Avg. Total Comp
3-4 rounds
Typical Rounds
Not reported
Process Length
Justworks Software Engineer candidates most often describe an early automated coding assessment, followed by conversations with recruiting or engineering leadership and a final onsite. The assessment format varied: several reports describe a CodeSignal-style sequence of progressively harder, ordered implementation problems, while one candidate described a take-home function-building task evaluated by automated tests. Practice finishing and validating working code under time pressure, including reading tests carefully rather than relying on a partial solution.
The onsite appears especially useful to prepare for as a mixed technical-and-collaboration stage. Individual candidates encountered debugging of unfamiliar, broken scripts; system design; and API design. Reported design prompts included a payroll system and an internal Trello-style board, where the discussion covered a data model, APIs, infrastructure, and tradeoffs. Prepare to explain a coherent design from requirements through interfaces and operational choices, but do not assume either prompt will recur.
Behavioral discussions were also reported with hiring managers, engineering leaders, product managers, and a CTO. Candidates were asked about technical tradeoffs, cross-functional collaboration, ambiguous requirements, and one report mentioned DEI. Bring several distinct examples so you can adapt if questions move quickly. Evidence on the exact sequence is limited and varies by candidate.
Synthesized from 5 candidate reports by our editorial team.
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Real interview reports from people who went through the Justworks process.
The most surprising part of the process was the onsite coding round: instead of a standard algorithm problem, I was given a confusing script involving employee lists and asked to get the tests passing. Once it worked, the discussion shifted to how I would make the code more efficient. It felt closer to debugging and code review than a typical whiteboard exercise, so being able to read unfamiliar code quickly mattered.
The process began with a recruiter phone screen, followed by an online CodeSignal-style coding assessment with four levels. I then spoke with the hiring manager in a round that mixed technical discussion with behavioral questions. The behavioral portion focused on my past experience and cross-functional collaboration, including how I had handled implementing a project when the requirements were vague.
The final stage was an onsite with several conversational and technical meetings. In addition to the debugging session, I did a system-design whiteboard interview, met with a PM, and spoke with an engineering manager. Those latter conversations were mostly behavioral, with an emphasis on communication, collaboration, and how I work through ambiguity with partners outside engineering. Overall, the process was straightforward in structure, but the debugging exercise was more challenging than I expected because the starting code and task description were unclear. I did not receive an offer. My main advice is to practice debugging an unfamiliar, test-driven codebase and explaining concrete examples of cross-functional work and delivering under vague requirements.
Prep tip from this candidate
Practice debugging an unfamiliar employee-list-style script by getting its tests to pass, then be ready to discuss efficiency improvements. Prepare concrete examples of cross-functional collaboration and delivering a project from vague requirements.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Justworks
Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.
| Question | |
|---|---|
| 2nd Highest Salary | |
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| Merge Sorted Lists | |
| Empty Neighborhoods | |
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| Rolling Bank Transactions | |
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| Comments Histogram | |
| Retailer Data Warehouse | |
| Random SQL Sample | |
| Largest Salary by Department | |
| Find the First Non-Repeating Character in a String | |
| Bagging vs Boosting | |
| Size of Joins | |
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| Raining in Seattle | |
| First Touch Attribution | |
| Cumulative Distribution | |
| Manager Team Sizes | |
| Job Recommendation | |
| Minimum Change | |
| Recurring Character | |
| Daily Retention Summary |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an early coding assessment, often with ordered or progressively harder implementation tasks. Some describe roughly 90 minutes, automated tests, sorting or nested-map work, and practical tasks rather than classic algorithm prompts.
Candidates report an HR or recruiter screen, although one account places the coding assessment before meeting a recruiter. Expect scheduling and background discussion, but the precise order may vary.
Several candidates report a hiring-manager or engineering-manager conversation combining behavioral questions with discussion of past technical decisions. Collaboration and handling vague requirements may be explored.
Candidates report an onsite with multiple meetings that may include debugging unfamiliar code, system or API design, and conversations with product or engineering leaders. Individual prompts included payroll design and a Trello-style internal board.