Walmart Software Engineer candidates report a mix of coding, design, Java or backend discussion, and behavioral interviews. Prepare to explain trade-offs as clearly as you implement solutions.
$158K
Avg. Base Comp
$230K
Avg. Total Comp
2-3 rounds
Typical Rounds
2-4 weeks
Process Length
Walmart Software Engineer interviews reported here vary by team and role, but the recurring pattern is broader than a single algorithm screen. Candidates describe recruiter or HR contact followed by technical interviews that may combine coding with discussion of prior projects, system design, and manager or behavioral conversations. Some candidates reported a Karat assessment, while another experienced a lighter process without live coding or a formal assessment.
For coding, prepare to explain implementation choices as you work. Reported prompts include implementing a custom HashMap with collision handling, checking whether two strings are anagrams, building a BST, coding binary search, parsing instructions to identify qualifying rooms, and implementing an abstract method in another class. Clarify requirements before coding, describe the data structure you choose, and check the implementation carefully when the environment does not allow normal execution support.
Practical engineering discussion also appears in several accounts. One candidate encountered Core Java questions, while others were asked about backend languages, React Native experience, or the architecture of recent projects. Some processes included a system-design conversation, but another successful candidate reported only high-level technical discussion, so design should be treated as team-dependent rather than universal.
Behavioral preparation should cover project ownership, teamwork, workplace disagreement, difficult situations, career goals, and why the role fits. The number and order of interviews vary across these reports, so use the recruiter or hiring-manager conversation to confirm the format for the specific team.
Synthesized from 23 candidate reports by our editorial team.
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| Question | |
|---|---|
| Empty Neighborhoods | |
| Subscription Overlap | |
| Customer Orders | |
| Top 3 Users | |
| Over 100 Dollars | |
| Scrambled Tickets | |
| Bagging vs Boosting | |
| Last Transaction | |
| P-value to a Layman | |
| Triplet Counting | |
| Groups of Anagrams | |
| Longest Increasing Subsequence | |
| Cumulative Sales Since Last Restocking | |
| Valid Anagram | |
| Hurdles In Data Projects | |
| Order Addresses | |
| Highest Average | |
| Rider Discount | |
| Black Friday Shopping Spree | |
| Seasonal Product Performance Analysis | |
| Type I and II Errors | |
| Moving Window | |
| Check Matching Parentheses | |
| Employee Benefits Outreach | |
| Deciding Between Solutions | |
| Scalable Data Pipelines | |
| Testing Constraints | |
| Marketing Workflow Optimization | |
| Client Solution Pushback |
Synthesized from candidate reports. Individual experiences may vary.
Candidates commonly report an initial recruiter or HR conversation covering background, interest, availability, location, and fit. Some candidates then moved directly to a hiring-manager conversation, while others were scheduled for an assessment or technical screen.
Candidates report Karat, Glider, HackerRank, timed online assessments, and live video coding in different processes. Reported work includes data structures and algorithms, backend topics, and explaining a solution aloud; the assessment vendor and format are not consistent.
Reported technical questions range from HashMap, LRU cache, graphs, strings, trees, and arrays to Java, Spring Boot, concurrency, and resilience topics. Candidates may be asked to code, discuss a prior project, and explain complexity or design trade-offs in the same conversation.
Some candidates report a separate system-design or object-oriented design discussion, including inventory, contact-tracing, or Uber-like services. Other reports did not include a formal design round, so confirm whether design is part of the loop for the specific team.
Candidates report manager or behavioral conversations about previous systems, difficult workplace situations, teamwork, customer scenarios, and motivation for Walmart. A manager discussion may be mainly conversational, though one candidate reported unexpected design content in a round described as behavioral.
