Workday Software Engineer interview typically runs 4-5 rounds: recruiter screen, hiring manager, coding, system design, HR. Timeline is about 2-3 weeks and the process is practical and structured.
$118K
Avg. Base Comp
$252K
Avg. Total Comp
4-5
Typical Rounds
2-4 weeks
Process Length
Our candidates report that Workday is looking for engineers who can move comfortably between implementation details and the systems around them. Across experiences, the strongest signal wasn’t flashy algorithmic speed; it was whether someone could reason through practical tradeoffs in OOP, backend workflows, and design. We repeatedly saw questions that started conversationally and then turned technical, which means interviewers are testing how naturally you connect past project work to the way their teams build and operate software.
A recurring theme is that Workday seems to value engineers who understand the realities of enterprise software: automation, reliability, and the constraints of the stack. One candidate was pressed on JVM garbage collection and SLA concepts, another on Python and Bash for a DBAAS-style automation role, and others saw step-by-step LLD or OOD prompts with follow-ups. That pattern suggests they care less about polished textbook answers and more about whether you can explain why a design fits the problem and adapt it when the requirements change midstream.
We also see a consistent preference for grounded, work-like exercises over abstract puzzles. Even when the coding was LeetCode-style, candidates described medium difficulty under tight time pressure, or backend tasks like transforming a dataset from a config file. The non-obvious make-or-break factor here is staying precise while keeping momentum: Workday seems to reward candidates who can stay organized, narrate decisions clearly, and show they can handle the kind of practical engineering work enterprise teams actually ship.
Synthetized from 4 candidates reports by our editorial team.
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Real interview reports from people who went through the Workday process.
Initially the recruiter walked me through the process in a pretty transparent way, which I appreciated because the rest of the loop was a bit more involved than I expected. The first round was with the hiring manager and lasted around an hour. That one was mostly conversational at the start, with questions about the challenges I had faced in past projects, but they also slipped in some OOPs questions. After that, I had a technical round where they asked me to model an LLD system design step by step based on changing conditions, so it felt more like building the design gradually than giving a polished final answer right away. The next round was supposed to be an architectural discussion plus behavioral, but the process ended before that because the position was withdrawn and I was told AI-based hiring was being prioritized.
What stood out to me was that the interview was not just pure coding, even though coding was definitely part of it. The overall structure seemed to be around 4 to 5 rounds, with about 3 technical interviews and 2 behavioral ones, and the coding questions were in the LeetCode easy to medium range. Depending on the team, there could also be a project-style homework round instead of another live technical round. In my case, I only got through the first couple of rounds before it stopped. I also had one odd follow-up in a separate contract process where they asked about being available for onshore and offshore meetings every day, morning and night, which felt very specific to the role. My main takeaway is to be ready for a mix of project discussion, OOPs, LLD-style design, and straightforward coding, and don’t assume the process will be purely algorithmic.
Prep tip from this candidate
Prepare for a hiring-manager round that digs into past project challenges and OOPs, then practice LLD design by building it incrementally from changing requirements. Also be ready for LeetCode easy/medium coding and, for some contract roles, practical availability questions about working across onshore/offshore meeting times.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Workday
Given two sorted lists, write a function to merge them into one sorted list.
| Question | |
|---|---|
| Target Indices | |
| Median O(1) | |
| International e-Commerce Warehouse | |
| Stakeholder Communication | |
| Why Do You Want to Work With Us | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Empty Neighborhoods | |
| Subscription Overlap | |
| Rolling Bank Transactions | |
| Prime to N | |
| Random SQL Sample | |
| Comments Histogram | |
| Top 3 Users | |
| Raining in Seattle | |
| Customer Orders | |
| Find the Missing Number | |
| String Shift | |
| Upsell Transactions | |
| Closest SAT Scores | |
| Weighted Keys | |
| Scrambled Tickets | |
| Hurdles In Data Projects | |
| Largest Salary by Department | |
| P-value to a Layman | |
| Monthly Customer Report | |
| Delivery Estimate Model | |
| First Touch Attribution | |
| Address Schema |
Synthesized from candidate reports. Individual experiences may vary.
The process typically starts with a recruiter call to discuss your background, the role, salary expectations, and logistics like office location or availability. In some cases, the recruiter also gives a transparent overview of the full loop and what to expect next.
Next is often a hiring manager conversation focused on your past projects, experience, and fit for the team. Candidates reported some technical depth here as well, including questions on OOP, JVM garbage collection, SLA concepts, and the languages or tools they have used.
Workday commonly includes a practical coding stage, either as a live technical interview or an online assessment. Questions ranged from LeetCode easy-to-medium problems to backend tasks like reading a dataset and applying transformations from a configuration file, and some roles used Python, Bash, or HackerRank-style exercises.
Candidates often face a design-focused round covering system design, low-level design, or object-oriented design. This stage may involve building the design step by step under changing conditions, discussing architecture, or answering follow-up questions on an OOD problem.
The loop usually ends with a behavioral or HR-style conversation. This round focuses on communication, collaboration, and overall fit, and in some cases it may be paired with an architectural discussion or come after a take-home/pairing exercise.