travclan Software Engineer Interview: Questions, Experience & Prep (2026)

TravClan is a B2B travel technology platform that serves travel agents across India with tools for booking flights, hotels, and holiday packages, supplier inventory access, and payment management. As of July 2026, there are 5395 Software Engineer jobs tracked across India (knok jobradar), with TravClan listing 53 open Software Engineer roles, making it one of the more actively hiring companies in Indian travel tech right now.

The interview process typically runs across three to four rounds. Candidates report an initial HR or recruiter screening, followed by one or two technical rounds covering coding problems and system design, then a final discussion with a senior engineer or engineering manager. The full process commonly takes two to three weeks from first contact to offer.

Software Engineer salary ranges in India (knok jobradar, July 2026)

TravClan engineers work on real-time inventory syncing, booking-flow reliability, payment reconciliation, and partner API integrations. A clear understanding of these product areas before your interview gives you a genuine edge.

Coding and algorithms

1. Write a function to find the cheapest multi-leg route given a list of flights and a budget constraint.
2. You have a large list of hotel bookings with check-in and check-out dates. Find the date with the maximum number of simultaneous guests.
3. Given a third-party API that sometimes times out, implement a retry mechanism with exponential backoff.

System design

1. Design a real-time flight and hotel inventory system that prevents double-booking when multiple agents hit the same last seat simultaneously.
2. TravClan connects to multiple GDS (Global Distribution System) suppliers. How would you build an API aggregation layer that handles partial supplier failures and inconsistent response formats?
3. Design a notification service for travel agents covering booking confirmations, itinerary updates, and payment alerts, built to handle peak festive-season traffic.
4. How would you design the reconciliation system that matches payments received with bookings confirmed across multiple suppliers?

Past experience and behaviour

1. Tell us about a feature you built end-to-end. What tradeoffs did you make?
2. Describe a time you debugged a hard production issue. Walk us through your process step by step.
3. Have you ever disagreed with a technical decision on your team? What happened and how did it resolve?
4. Tell us about a time you had to deliver under a tight deadline. What did you cut, and what did you protect?

Domain and motivation

1. What do you know about TravClan, and how does it differ from a B2C travel platform like MakeMyTrip or Yatra?

Q: Design a system to prevent double-booking when two agents try to book the same last seat.

*Situation:* At my previous company, we ran a booking platform where flash sales caused race conditions. Two users would complete checkout for the same seat, both receive confirmations, and the team would have to resolve the conflict manually after the fact.

*Task:* I was responsible for redesigning the inventory-lock mechanism to eliminate this without adding noticeable latency to normal booking flow.

*Action:* I introduced an optimistic locking pattern on the inventory record. When an agent starts checkout, the system reads the current version number of that seat. At the moment of final confirmation, it runs an atomic update that decrements the count only if the version matches and the count is above zero. If two agents are racing, one succeeds and the other gets a version mismatch and sees an 'unavailable' message instead of a false confirmation. For high-demand items, I also added a short-lived Redis reservation to hold the seat for a brief window during checkout.

*Result:* Double-booking incidents dropped to zero after the release. Checkout latency barely moved because the extra round-trip added only a few milliseconds.

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Q: Tell us about a time you debugged a hard production issue.

*Situation:* On a Monday morning, our booking success rate dropped sharply for one supplier. Error logs showed timeouts but no clear pattern across requests.

*Task:* I was on-call and needed to diagnose and resolve the issue before it spread further across the platform.

*Action:* I first ruled out our own infrastructure by checking internal latency dashboards, which were all normal. I then pulled a sample of failing requests and noticed they all hit one specific supplier endpoint. I added temporary detailed logging for that supplier and found that response payload sizes had grown: the supplier had quietly added a large metadata block to their API responses. Our parser was reading the full payload before returning anything, which hit a memory limit and caused timeouts. I changed the parser to stream the response and extract only the fields we actually needed.

*Result:* Success rate recovered within minutes of the fix going out. I wrote a post-mortem and added response-size monitoring for all third-party integrations going forward.

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Q: Tell us about a time you had to deliver under a tight deadline. What did you cut?

*Situation:* Our team had three weeks to ship a payment-reconciliation dashboard before a compliance review. The original scope included live charts, CSV export, and a full filtering system.

*Task:* Halfway through, I realised the live chart feature alone would consume almost the full three weeks. I had to make a scope call as the engineer leading the work.

*Action:* I ran a quick check with our finance team (the actual users) and found they cared most about accurate daily totals and the export. Live charts were a 'nice to have.' I proposed shipping with daily-refresh data and CSV export in the first version, with live charts as a fast follow. The team agreed and we adjusted the sprint accordingly.

*Result:* We shipped on time, passed the compliance review, and the finance team was satisfied. Live charts shipped the following sprint with far less pressure.

STAR for behavioural questions

Every 'tell me about a time' question fits the same four-part structure. Situation: brief context, one or two sentences. Task: what you specifically owned in that situation. Action: what you actually did, in enough detail to show your thinking and skill. Result: what changed, ideally with a concrete outcome. TravClan interviewers typically want the most depth in the Action section, so do not rush through it with a single sentence.

Structured approach for system design

Candidates report that walking through a clear sequence helps avoid rambling. Start by clarifying requirements and constraints. Then sketch rough scale. Then walk through the main components. Then address failure modes. Resist jumping straight to a solution. TravClan systems handle real-time inventory and third-party integrations, so interviewers commonly probe on data consistency, failure handling, and retry logic. Address these proactively rather than waiting to be asked.

For coding problems

Think out loud from the very start. State a brute-force approach before optimising. If you spot an edge case (empty input, concurrent access, very large data), name it before you code it. Interviewers can guide you when they can follow your reasoning. They cannot help when you go silent.

TravClan builds software that travel agents depend on for their income, so interviewers look for a reliability mindset above almost everything else. They want to see that you think carefully about failure modes and edge cases, not just the happy path.

Beyond reliability, candidates report TravClan values the following qualities in interviews:

• Domain curiosity. You do not need prior travel-industry experience, but genuine interest in how booking flows work, how supplier APIs function, and how payments are reconciled signals you will ramp up fast.
• Clear communication. TravClan engineers collaborate with product, finance, and supplier teams. Being able to explain a technical tradeoff to a non-engineer is rated highly by interviewers.
• End-to-end ownership. Questions are designed to reveal whether you think about deployment, monitoring, and edge cases, not just writing code that compiles and passes tests.
• Practical tradeoff reasoning. When a design question has no perfect answer (and most do not), interviewers want to hear you reason through the options and make a defensible choice, rather than wait for them to guide you to the answer.

One to two weeks before: Foundations and company research

Revise core data structures and algorithms. Arrays, hashmaps, trees, and graphs cover most of what candidates report seeing in TravClan coding rounds. Then dedicate time to understanding the TravClan product: use the platform as a travel agent would, read their blog and any publicly available case studies. Understand what a GDS is and why integrating multiple suppliers is a genuinely hard engineering problem.

One week before: System design and behavioural stories

Practise designing two or three systems relevant to travel tech. A real-time inventory service, a notification system, and a payment reconciliation flow are all reasonable choices given what candidates report. For each design, push yourself on consistency under load and on handling supplier failures. In parallel, write out five or six past-experience stories in STAR format. Cover a production incident, a feature you built end-to-end, a disagreement with a teammate, and a deadline you had to manage.

Final days: Mock interviews and polish

Run at least two full mock interviews with a peer, one coding and one system design. Recording yourself is the fastest way to catch habits like going silent when stuck or skipping the problem-clarification step. Review any feedback and run the process once more.

The day before

Check TravClan's current job postings to confirm which team and tech stack you are interviewing for. Prepare two or three genuine questions to ask the interviewer about engineering challenges, team structure, or on-call culture. Interviewers notice candidates who have done real homework.

If you are applying to multiple companies at the same time, knok checks 150+ job sites nightly, applies to roles that match your resume, and messages HR on your behalf, so you can focus your preparation energy on interviews rather than applications.

Jumping into code without clarifying

The most commonly reported mistake is starting to code the moment a problem is stated. Take a minute or so to restate the problem, ask one or two clarifying questions, and outline your approach. This is not wasted time: it shows structured thinking and gives the interviewer a chance to correct any misunderstanding before you build in the wrong direction.

Designing only the happy path

For a travel-tech company, system design answers that ignore failure modes fall flat. Always address what happens when a supplier API is slow or unavailable, when two agents hit the same resource at the same time, or when a payment succeeds but the booking confirmation fails. These are daily realities at TravClan.

Generic behavioural answers

Saying 'I am a good team player' without a concrete story does not help an interviewer evaluate you. Every behavioural answer needs a specific situation from your actual work history. Answers that say 'we' throughout rather than 'I' are another common gap: interviewers want to understand what you specifically contributed.

Not knowing TravClan's product

Candidates who cannot explain what TravClan does, who their customers are, or how they differ from a B2C travel app send a clear signal that the role is not a priority. Spend at least an hour on the company before the interview.

Going silent when stuck

If you hit a wall on a coding problem, extended silence is worse than thinking out loud with incomplete thoughts. Say what you are stuck on. Interviewers typically help candidates who communicate their reasoning, but cannot help someone who is quietly staring at the screen.