agoda Software Engineer Interview: Questions & Prep (2026)

Agoda is a major online travel platform with engineering teams spread across Asia, powering hotel, flight, and activity bookings for travellers globally. As of July 2026, knok's job radar shows 299 open Software Engineer positions at Agoda, signalling active hiring across experience levels. Candidates report the interview process typically runs across several stages: an online coding assessment, one or two technical coding rounds, a system design interview, and a final round covering culture fit or engineering leadership discussions. The full process can stretch across a few weeks depending on the role and team. Agoda's engineering challenges are real and large-scale, so interviewers are looking for candidates who can write correct, efficient code and reason sensibly about distributed systems that serve many millions of users.

These questions appear repeatedly, based on what candidates report from Agoda engineering interviews.

1. Walk me through how you would design a hotel search and ranking system that handles very high query volume.
2. How would you build a price-alert notification system at Agoda's scale?
3. Tell me about a time you optimised a slow query, API call, or batch job. What was the measurable impact?
4. How do you handle concurrency and race conditions in a multi-threaded or distributed service?
5. Describe a situation where you disagreed with your team on a technical direction. How did you resolve it?
6. How would you design a distributed caching layer for Agoda's hotel inventory?
7. Walk me through a production bug you found and fixed. How did you debug it?
8. How do you design a system for high availability and graceful degradation when a dependency goes down?
9. Tell me about a feature you owned end-to-end. What trade-offs did you consciously make?
10. How would you model a booking transaction that spans multiple services such as payment, inventory, and confirmation email?
11. What is your approach to writing testable code, and how do you decide what to cover with tests?
12. How do you evaluate a new technology or framework before adopting it in production?

Use these as templates, swapping in your own real experience.

Q: Tell me about a time you optimised a slow API or query.

*Situation:* At my previous company, our product listing API was timing out for users on slower connections during peak hours.

*Task:* I was asked to investigate and fix the performance issue without a full rewrite of the service.

*Action:* I profiled the API and found two problems: an N+1 database query pattern and a missing index on a frequently filtered column. I rewrote the data-fetching layer to use a single batched query, added the index, and introduced a short-lived in-memory cache for data that rarely changed.

*Result:* Response times dropped significantly, timeouts stopped appearing in our error logs, and the on-call load for that service fell sharply. The fix shipped within a week with no regression.

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Q: Describe a situation where you disagreed with your team on a technical approach.

*Situation:* My team wanted to add a new feature by extending an already complex monolith module. I felt this would make future changes harder and increase the risk of bugs.

*Task:* I needed to make my case clearly without slowing down delivery or damaging team trust.

*Action:* I prepared a short written comparison of both approaches, highlighting the long-term maintenance cost of the monolith extension versus a lightweight new service. I shared it before the design meeting so people had time to read it, then listened carefully to the counterarguments about delivery speed.

*Result:* We agreed on a middle path: a new module with a clean interface that could be extracted into a separate service later. It shipped on time, and when a follow-up feature arrived later, the clean interface made the work much easier to add.

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Q: Tell me about a feature you built end-to-end. What trade-offs did you make?

*Situation:* My team needed a real-time availability check for a third-party supplier feed that updated frequently.

*Task:* I was the sole engineer responsible for designing, building, and deploying the integration.

*Action:* I chose to poll the supplier on a short interval and cache results locally rather than building a streaming pipeline, because the supplier's API did not support webhooks and a full streaming setup would have taken much longer. I documented the trade-off clearly: we would show data that was slightly stale, but availability would be high and the build would be fast.

*Result:* The feature launched on schedule. Stale data was flagged as a known limitation in the product spec. When the supplier later added webhook support, we had a clean integration point ready to upgrade.

For coding questions: Start by clarifying the problem out loud before you write a single line. Confirm input types, edge cases, and any constraints. Think through your approach and say it aloud before coding, so the interviewer can redirect you early if needed. Write clean, readable code first, then optimise. Walk through your solution with a simple example when you are done, and mention edge cases you would handle in a production version.

For system design questions: Use a four-step structure. First, clarify requirements and scale: ask about read-versus-write ratio, expected traffic, and consistency needs. Second, sketch a high-level diagram with the main components. Third, go deep on the parts that matter most for this system, such as the data model, caching strategy, or queue design. Fourth, discuss trade-offs and what you would do differently with more time.

For behavioural questions: Use the STAR format every time. Keep the Situation and Task brief (a few sentences), spend most of your time on the Action (what you personally did), and always close with a concrete Result. If you do not have a number for the result, describe the qualitative outcome clearly.

Problem-solving clarity. Agoda interviewers care more about how you think than whether you arrive at the perfect answer instantly. Candidates who talk through their reasoning, catch their own mistakes, and ask smart clarifying questions consistently perform better than those who rush into code.

Code quality. Clean variable names, logical structure, and handling of edge cases all matter. Interviewers are not just checking if your code runs; they are imagining what it would be like to review your pull requests.

Scale awareness. Agoda's systems serve a very large global user base. In system design rounds, show that you understand the difference between a system built for a small startup and one designed for global traffic. Talk about caching, replication, failure modes, and data consistency naturally.

Ownership mindset. Agoda values engineers who treat problems as theirs to solve, not just tasks to complete. In behavioural rounds, show that you proactively flagged risks, drove decisions, and followed through to completion.

Week 1: Coding foundation. Focus on data structures and algorithms that appear most often in product-company interviews: arrays, hashmaps, trees, graphs, and dynamic programming. Solve several medium-difficulty problems each day on a practice platform. Practise talking through your approach before you start typing, since Agoda interviews are typically conducted with a live interviewer present rather than just an automated judge.

Week 2: System design. Study the building blocks of distributed systems: load balancers, caches, message queues, databases (SQL vs NoSQL trade-offs), and API design. Practise designing systems you can relate to Agoda's domain, such as a hotel search engine, a booking pipeline, or a notification service. Aim to complete a full design walkthrough comfortably within the time a real interview gives you.

Week 3: Behavioural and company prep. Write out four or five STAR stories from your own experience covering impact, conflict, failure, and leadership. Research Agoda's engineering blog and public conference talks to understand how their teams work. Practise your stories out loud so they feel natural, not recited.

All three weeks: Mock interviews matter more than reading about interviews. Do at least one timed mock per week with a peer or on a platform that gives live feedback.

Jumping into code without clarifying. Candidates who start typing immediately often solve the wrong problem or miss an important constraint. Spend the first minute asking questions.

Staying silent during coding. Agoda interviewers want to see your thinking. A candidate who codes quietly and gets the right answer is harder to evaluate than one who explains their reasoning, even if they take a wrong turn and self-correct.

Treating system design as a monologue. Design rounds are meant to be conversations. If you lecture for a long stretch without checking in, the interviewer cannot guide you toward what they care about. Pause, ask for feedback, and adjust.

Vague behavioural answers. Answers like 'we improved performance' or 'the team was happy' are weak. Tie your results to something concrete: a metric that improved, a deadline that was met, or a process that changed.

Ignoring failure modes in design. Candidates who only design the happy path and skip what happens when a service is down or a message is lost signal limited production experience. Always mention at least one failure scenario.

Not asking any questions at the end. Preparing a few genuine questions about the team's technical challenges or engineering culture shows real interest and leaves a strong last impression.