Mr. Cooper Software Engineer interview typically runs 5 rounds: online assessment, programming round, technical interview, technical HR round, HR round. Timeline is about 3 hours for the OA and is broad, process-oriented, and fundamentals-heavy.
$105K
Avg. Base Comp
$171K
Avg. Total Comp
4-5
Typical Rounds
3-5 weeks
Process Length
Our candidates report a process that rewards breadth more than flash. Across experiences, the same pattern shows up: Mr. Cooper keeps coming back to core CS fundamentals — especially SQL joins, DBMS concepts, OOPs, and data structures — and then checks whether candidates can explain those choices in a plain, structured way. We’ve seen questions move from recursion, linked lists, and spiral matrix logic to schema design and entity diagrams, which tells us they’re looking for engineers who can connect code to data models, not just solve isolated problems.
A recurring theme is that the company seems to value implementation clarity under follow-up pressure. Multiple candidates mentioned interviewers changing the problem, asking for code modifications, or pushing on what was actually built versus what was only known in theory. That’s a meaningful signal: strong answers here are not the most elaborate ones, but the ones that stay clean when the interviewer adds constraints. We also noticed that even when the setting felt campus-style or broad, the later conversations still circled back to practical engineering judgment — how you would structure a database, why a design choice makes sense, and whether you can defend it without hand-waving.
What makes or breaks candidates here is often not one hard algorithm, but whether they can stay steady across mixed formats and keep their reasoning consistent. The strongest experiences we saw came from candidates who could move comfortably between coding, SQL, and design thinking, while the weaker ones tended to stumble when asked to explain the “why” behind their solution. In other words, Mr. Cooper appears to hire for engineers who are dependable on fundamentals and communicative when the problem gets a little messy.
Synthetized from 6 candidates reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Mr. Cooper process.
Hey guys, I attended the Mr. Cooper campus placement process in March 2026, and it was a pretty structured one. The first round was an online proctored HackerEarth test that ran for about 3 hours and let us attempt questions in any order. It had a mix of MCQs and coding, and the MCQ part covered aptitude and logical reasoning along with technical basics. The aptitude section leaned on things like simple interest, compound interest, boat and train problems, profit and loss, time and work, and even some US currency concepts like pennies, cents, and nickels. There were also questions on true discount, banker’s discount, and assertion-reason type questions, so it was broader than just standard aptitude prep.
The technical MCQs were mostly DBMS, SQL, OOPS, and basic programming concepts. Joins and keys in SQL were especially important, and there were also questions on normalization, stack vs heap memory, garbage collection, file handling in Java, constructors, and time complexity for sorting and linked lists. After that came the coding section, which had 4 questions total: 3 DSA problems and 1 SQL problem. Two of the DSA questions were medium level and focused on recursion and regex/string logic, and the hardest one was a binary search-based problem. The SQL question involved subqueries and joins. I also heard the later rounds were more interview-heavy, with technical rounds lasting around 45 minutes to 1.5 hours, and they went into OOPS, resume-based questions, SQL, DBMS, and even LLD/system design. One question I was asked directly was about what OOPS concepts I had actually implemented, so it wasn’t just theory.
Overall, the process felt more like a campus hiring pipeline than a pure coding interview, but the coding round still mattered a lot. I didn’t get an offer in the end, but the main takeaway is to be ready for a long OA with aptitude plus technical MCQs, and then be comfortable explaining real OOPS work, SQL joins/subqueries, and a bit of LLD in the later rounds.
Prep tip from this candidate
Drill SQL joins, subqueries, and DBMS basics alongside OOPS concepts you’ve actually used in projects, because those came up repeatedly in both the OA and the technical rounds. For coding, practice medium recursion/string problems and at least one binary-search-style hard problem under time pressure.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
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 | |
| Empty Neighborhoods | |
| Subscription Overlap | |
| Merge Sorted Lists | |
| Rolling Bank Transactions | |
| String Shift | |
| Prime to N | |
| Over-Budget Projects | |
| P-value to a Layman | |
| Find the Missing Number | |
| Over 100 Dollars | |
| Scrambled Tickets | |
| Minimum Change | |
| Google Maps Improvement | |
| Bagging vs Boosting | |
| Find the First Non-Repeating Character in a String | |
| String Mapping | |
| Last Transaction | |
| Hurdles In Data Projects | |
| Target Indices | |
| Success Measurement | |
| Paired Products | |
| Real-Time Transaction Streaming | |
| Unique Work Days | |
| Nearest Common Ancestor | |
| Third Purchase |
Synthesized from candidate reports. Individual experiences may vary.
The process typically starts with a proctored online assessment, often on HackerEarth. It combines aptitude and logical reasoning MCQs with technical MCQs on SQL, DBMS, OOPs, and programming fundamentals, plus multiple coding problems that can include DSA and SQL.
Candidates who clear the OA move into a technical screening interview that may be called a technical round or technical HR round. This stage focuses on core programming concepts, DSA, SQL, and OOPs, and interviewers often ask follow-ups that require you to explain your approach and adapt your solution live.
The next round goes further into problem solving and fundamentals, with questions on DSA theory, linked lists, recursion, regex/string logic, and language-specific implementation in Java, Python, or JavaScript. Some candidates also saw database schema or entity diagram questions, and the interviewer may push for code modifications or deeper explanation of design choices.
Later technical rounds can include low-level design or system design prompts alongside coding. Reported topics include designing systems such as a hotel reservation system or a collaboration tool, as well as implementing a flow diagram using OOPs and SQL.
The final stage is an HR or managerial discussion, though not every candidate reaches it. This round is more conversational and may cover motivation, resume-based discussion, and why the company should choose you, while still checking that you can communicate technical decisions clearly.