Mr. Cooper Software Engineer interviews typically include an online assessment mixing MCQs and coding, technical interviews on DSA, OOP, DBMS, SQL, and design, and an HR or technical-HR round; most reported outcomes were no offer.
$98K
Avg. Base Comp
$115K
Avg. Total Comp
3-5 rounds
Typical Rounds
Not reported
Process Length
Mr. Cooper's Software Engineer interviews are a multi-stage pipeline that tests breadth more than any single hard problem. Across these reports, the process typically opens with an online assessment that mixes aptitude and CS-fundamentals multiple-choice questions with two or three coding problems ranging from easy to hard. One candidate described that round taking around three hours. Several report MCQs on SQL, C/C++, DBMS, OOP, computer networks, and output-based questions, with coding problems involving arrays, strings, or trees.
Beyond the assessment, candidates describe applied design work alongside coding. Examples include designing a class diagram for an application, building a flow diagram for a problem statement and implementing it with OOP concepts, and tackling a system design prompt such as a hotel reservation system. One candidate also mentions a longer programming round before the technical interviews. Given that, practice turning a problem statement into a design and then working code rather than only grinding isolated algorithm questions.
From there, candidates report one or two technical interviews revisiting:
An HR or technical-HR round follows, where questions like why they should choose you can sit alongside technical follow-ups. Round counts vary, with reports ranging from three stages to five, so treat the overall length as an estimate. Interviewers are described as friendly, but communication matters. Candidates stress explaining reasoning aloud, and one was stopped at the technical-HR round after clearing the coding test. Outcomes in these reports skew heavily toward no offer.
Synthesized from 26 candidate reports by our editorial team.
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Real interview reports from people who went through the Mr. Cooper process.
My interview process here had four distinct rounds, each escalating in scope and specificity. The first round threw a multi-tier coding challenge at me—they gave problems across easy, medium, and hard difficulty levels to see where I'd land and how I'd approach varying complexity. Alongside the code, there were aptitude questions testing logical reasoning and language-specific fundamentals in Python or C++. That breadth felt intentional; they're not just checking if you can solve one type of problem.
Round two pivoted to application development in practice. I was given a longer-form coding problem and asked to design an entity-relationship diagram, then explain it. This was where the rubber met the road—it's not just algorithms anymore; it's asking you to think about data modeling and how systems fit together. Round three brought a technical interviewer who drilled deeper into whatever I'd struggled with or shown promise in. Python questions on data structures, linked lists, and the reasoning behind my implementation choices all came up. By round four, it was a general HR conversation, though at that point the technical bar had already been set. The whole pipeline felt designed to assess problem-solving across multiple angles—coding ability, system thinking, and communication—rather than any single dimension.
Prep tip from this candidate
Practice coding problems across all difficulty levels, not just medium, since round one tests your ceiling. Prepare to explain ER diagrams and think about data relationships—that bridge between code and schema design came up consistently and seemed to trip candidates up.
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Topics based on recent interview experiences.
Featured question at Mr. Cooper
How would you optimize a deep learning model to improve performance without overfitting
| Question | |
|---|---|
| Swipe Payment API | |
| Text Editor With OOP | |
| Sports App Cheater | |
| 2nd Highest Salary | |
| Subscription Overlap | |
| Empty Neighborhoods | |
| Rolling Bank Transactions | |
| Merge Sorted Lists | |
| String Shift | |
| Top 5 Turnover Risk | |
| Total Spent on Products | |
| Prime to N | |
| Over-Budget Projects | |
| Over 100 Dollars | |
| Minimum Change | |
| Find the Missing Number | |
| Scrambled Tickets | |
| Maximum Profit | |
| P-value to a Layman | |
| Project Pairs | |
| Google Maps Improvement | |
| Find the First Non-Repeating Character in a String | |
| Bagging vs Boosting | |
| Last Transaction | |
| The Brackets Problem | |
| String Mapping | |
| Real-Time Transaction Streaming | |
| Finding The Mode | |
| Paired Products |
Synthesized from candidate reports. Individual experiences may vary.
Candidates typically start with an online test combining aptitude and CS-fundamentals multiple-choice questions (SQL, C/C++, DBMS, OOP, and output-based questions) with two to three coding problems spanning easy to hard difficulty. Reports mention around 30 total questions, and one candidate said the round took about three hours.
Some candidates describe a round that moves from design to implementation. Examples include drawing a flow diagram for a problem statement and implementing it with OOP concepts and SQL queries, designing a class diagram for an application, or a longer programming round before the technical interviews.
Most candidates report one or two technical interviews covering data structures (trees, linked lists, graphs, arrays), DSA theory, OOP concepts, DBMS, and SQL joins and query optimization. Some also get a system design prompt such as a hotel reservation system. Interviewers emphasize clear explanation of reasoning, not just correct answers.
The process typically closes with an HR round. Some candidates describe a 'technical HR' stage that mixes questions like why they should be chosen with discussion of data structures, database schemas, and entity diagrams. One candidate was stopped at this stage despite clearing the coding test.
