Booking.com Software Engineer candidates report an online assessment or recruiter screen, then practical coding and system design tied to travel-style problems, plus a behavioral round. Reports include both offers and rejections.
$126K
Avg. Base Comp
$157K
Avg. Total Comp
3-4 rounds
Typical Rounds
Not reported
Process Length
Booking.com Software Engineer candidates describe a process that combines algorithm work with problems set in a travel or booking context. Reported outcomes include both offers and rejections.
The coding reports lean practical. One candidate had a one-hour technical interview built around a JSON list of reservations and discount rates, solved with a sliding window. Another described a sliding-window problem with added complexity, and a third had a graph problem similar to LeetCode's reconstruct-itinerary. One candidate implemented an insertion-based cache with three methods in an online IDE, and was asked to use Java even though the posting suggested language flexibility. Other reports mention a dynamic programming challenge, a medium backtracking problem, and an early online test that included an OpenAPI call and a SQL question.
System design prompts are tied to Booking-style products. Candidates report designing a popup that shows how many people are viewing the same hotel, a payment capture system with tiered charges, a fraud detection system, and a near real-time transaction and reporting system. The transaction discussion covered queues versus direct APIs, SQL versus NoSQL, 10x scaling, duplicate handling, retries, and backpressure. Fraud detection questions focused on latency, data volume, and false positives.
One behavioral round included more than 35 questions with deep follow-ups on engineering mindset and team stories. Another candidate said the behavioral round was their strongest.
The recruiter stage is less predictable. One sourcer call ended after about seven minutes with concerns about company-size fit. So prepare a clear motivation for Booking.com and be ready to describe your team environment. Because the reports are few and varied, treat the round order as a likely pattern, not a fixed sequence.
Synthesized from 19 candidate 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 Booking.Com process.
When I actually sat down for the interview, I realised preparation and the real interview are two different things. The process had multiple rounds, including technical discussions, problem-solving, and system design. I felt confident while explaining my approach and discussing trade-offs, but things got challenging when the interviewer asked unexpected follow-up questions.
What surprised me most was that they weren't just looking for a perfect solution. They wanted to understand how I think, how I handle ambiguity, and whether I could explain my decisions clearly.
The system design round was where I started sweating a little. I knew the fundamentals, but thinking about scalability, edge cases, and real-world constraints under pressure was challenging.
I made a few mistakes, went back to clarify my approach, and learned that it's okay not to have every answer immediately. The experience taught me to communicate better, ask the right questions, and focus on solving problems rather than trying to impress the interviewer.
Overall, it was challenging, insightful, and a good reminder that interviews test not just knowledge, but also how you think under pressure
Questions asked: They asked a mix of technical and system design questions. The main focus was on designing a scalable hotel booking system, including hotel search, room availability, booking confirmation, and payment handling. Some follow-up questions covered database selection, caching, handling concurrent bookings, and what happens when a payment fails. They also asked how I would prevent double bookings and handle system failures.
One interesting part was explaining trade-offs between different approaches rather than simply giving one solution. I was also asked to discuss API design, scalability, and how the system would perform under high traffic.
There wasn't anything particularly unusual in the take-home assignment, but the interview required clear thinking, structured communication, and handling unexpected follow-ups
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 Booking.Com
This problem involves finding the first non-repeating character in a given string. The solution involves iterating over the string and keeping track of the frequency of each character. The first character that has a frequency of 1 is the first non-repeating character.
| Question | |
|---|---|
| The Brackets Problem | |
| Real-Time Transaction Streaming | |
| Resumable Fact Table Load | |
| Target Indices | |
| Priority Queue Using Linked List | |
| Ride-Sharing App Schema | |
| Check Matching Parentheses | |
| Combinational Dice Rolls | |
| Targeted sum | |
| Scalable Data Pipelines | |
| Duplicate Product Names | |
| Relational Migration | |
| Why Do You Want to Work With Us | |
| LRU Cache 1 | |
| Stories Success | |
| Hotel Occupancy Prediction | |
| Using APIs for Downstream Tasks | |
| Facebook Autocomplete | |
| Bootstrapping Samples | |
| Flight Modeling | |
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Employee Salaries | |
| Merge Sorted Lists | |
| Monthly Customer Report | |
| Bagging vs Boosting | |
| Random SQL Sample | |
| Rolling Bank Transactions | |
| Raining in Seattle |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report different starting points. Some began with a HackerRank test, in one case with three questions on arrays, sorting and datasets in about 90 minutes. Another test mixed a coding problem, an OpenAPI call with filtering, and a SQL question. Others began with a recruiter or sourcer call about motivation and background. One such call ended after about seven minutes.
Several candidates describe a conversational early round. One had a hiring manager conversation that felt like a get-to-know-you chat, and another had a short technical screening about past projects. It may cover your background and why you want to join Booking.com, so have concise project stories ready before any live coding.
Candidates report live problems of medium difficulty, often practical. Examples include a sliding window over reservation discounts, a backtracking problem, a graph problem similar to reconstruct-itinerary, and an insertion-based cache implemented in a timed online IDE. One candidate was asked to code in Java. Interviewers were often two engineers, and one candidate found the pacing rushed.
Candidates report design prompts based on Booking.com-like products, including a live viewer popup, tiered payment capture, fraud detection, and near real-time transaction reporting. Follow-ups reportedly covered latency, false positives, queues versus APIs, retries, duplicates and scaling to 10x load. Expect to explain trade-offs, not only draw an architecture.
Candidates describe behavioral conversations about past work, motivation, and teamwork. One interviewer asked more than 35 questions with detailed follow-ups on topics such as validating APIs, learning and growth, and helping colleagues. Another said this round was their strongest and that they connected well with the manager. Prepare several concrete stories, since interviewers may ask for more examples.
