Visa Software Engineer interviews commonly combine an online coding assessment with technical, project-focused, behavioral, and sometimes system-design conversations.
$155K
Avg. Base Comp
$210K
Avg. Total Comp
3-4 rounds
Typical Rounds
2 months
Process Length
Visa Software Engineer candidates most often describe a coding-first process, followed by live conversations that test both implementation and how well you understand the work on your resume. Several reports start with an online assessment, including accounts of four questions in roughly 60–75 minutes. Treat the exact platform and difficulty as variable.
For live coding, prepare standard easy-to-medium data-structures-and-algorithms work, including arrays, strings, linked lists, graphs, sliding windows, trees, matrices, and recursion. One candidate was asked linked-list copying and a longest-substring-style problem; others reported tree, matrix, linked-list, and array problems. Clear explanation matters alongside correct code: candidates describe coding mixed with technical or behavioral discussion rather than a single uniform format.
Resume discussion is a recurring practical component. Candidates report questions about recent projects, API calls, data quality, and the technologies named on their resumes. Review the tradeoffs behind each tool you list, then practice explaining a project from problem through implementation and results. Later conversations may also cover OOP, testing, REST, operating systems, networking, SQL, Java fundamentals, plus high-level system design. Behavioral prompts include motivation for Visa, teamwork, feedback, and difficult work situations.
Reports support several different paths, and one candidate said the process took a few months overall. Prepare broadly, but expect team and level to shape the final mix.
Synthesized from 33 candidate reports by our editorial team.
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Real interview reports from people who went through the Visa process.
The interview process consisted of five rounds, ending with an offer. It included a HackerRank online assessment followed by two technical interviews, and I was nervous going in. Staying confident and keeping my problem-solving skills sharp made a real difference.
Questions asked: The HackerRank assessment included Python and SQL questions. On the Python side, one question asked me to process an array of transaction IDs and return the first duplicate transaction as efficiently as possible — I solved it using a hash map (dictionary) in O(n) time. Another question involved calculating the running sum of values in an array. The SQL section covered joins, GROUP BY, aggregate functions, and filtering. One task required finding the top five customers by number of transactions; another involved joining customer and transaction tables to calculate total spending per customer.
During the technical interview, the interviewer asked me to explain my approach before coding, discuss time and space complexity, and describe how I would handle edge cases such as empty arrays, duplicate values, and null records. There were also follow-up questions about why I chose a dictionary instead of nested loops and how the solution would scale for large datasets.
Overall, the interview focused more on problem-solving, writing clean code, and explaining my reasoning than on memorizing language-specific syntax.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Visa
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 | |
|---|---|
| Closest SAT Scores | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Total Spent on Products | |
| Sum to N | |
| Bagging vs Boosting | |
| Size of Joins | |
| Alphabet Sum | |
| Employees Before Managers | |
| Resumable Fact Table Load | |
| Hurdles In Data Projects | |
| Fewer Orders | |
| Count Transactions | |
| Filling Supermarket Bag | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Modifying a Billion Rows | |
| Slow SQL Query | |
| Swap Variables | |
| Concurrent LLM Serving | |
| Mouse Search | |
| Production Model Monitoring | |
| User Event Data Pipeline | |
| Check Matching Parentheses | |
| The Longest Journey | |
| Search Timeout | |
| Three Indexes Adding Zero | |
| SageMaker Deployment Architecture | |
| Pathfinder in Maze | |
| Blob Indexing |
Synthesized from candidate reports. Individual experiences may vary.
Candidates commonly report an online coding assessment before live interviews. Reported versions range from three or four timed questions to two harder array-and-sorting problems; practice solving and explaining DSA problems under a fixed clock.
Candidates report live easy-to-medium coding involving linked lists, strings, graphs, arrays, trees, matrices, or sliding windows. Some interviews may combine behavioral questions with coding, so narrate your approach and tradeoffs as you work.
Several candidates describe detailed follow-ups on projects and listed technologies, alongside topics such as APIs, OOP, testing, databases, SQL, operating systems, networking, and language fundamentals. Review the decisions behind your own experience.
Candidates report conversations about motivation, teamwork, feedback, career background, and preferred teams. Depending on the path, this stage may also include a conversational or high-level system-design prompt and discussion of architecture tradeoffs.
