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

Topi currently lists 4 open Software Engineer roles, making it a focused opportunity in a broader market. As of July 2026, the knok jobradar tracked 5,395 Software Engineer openings across India, with Bangalore leading at 776 roles, followed by Hyderabad (157), Delhi (154), Pune (140), Mumbai (72), and Chennai (48).

Candidates report that Topi's interview process typically spans several rounds covering coding, system design, and behavioural questions. The team looks for engineers who can communicate their thinking clearly, own problems end-to-end, and reason through trade-offs. This guide covers the questions most commonly asked, frameworks to answer them, and what to watch out for.

Candidates report these questions appearing frequently in Topi Software Engineer interviews:

1. Walk me through a system you designed from scratch. What trade-offs did you make?
2. How do you ensure code quality in a fast-moving team?
3. Tell me about a time you had to push back on a product or business requirement.
4. Design a scalable REST API for a core product feature. How would you handle high traffic?
5. How do you approach debugging a production issue with no logs?
6. Describe a situation where you had to learn a new technology quickly. How did you manage it?
7. How do you prioritise tasks when multiple deadlines overlap?
8. Tell me about a time you disagreed with a teammate. How was it resolved?
9. How would you design a database schema for a feature with complex relationships?
10. What is your approach to writing tests, and how do you decide what to cover?
11. Explain a complex technical concept to a non-technical stakeholder. Give a real example.
12. How do you handle technical debt in a codebase you inherit?

Q: Tell me about a time you had to push back on a product requirement.

*Situation:* My product manager wanted to ship a feature that cached user data on the client side to speed up load times.

*Task:* I needed to flag a serious security risk while keeping the release timeline intact.

*Action:* I prepared a short document showing how client-side caching of sensitive fields could expose data on shared devices. I proposed an alternative using server-side caching with a short TTL and walked the PM through how it still met the original performance goal.

*Result:* The team adopted my approach, shipped on time, and the solution passed the security review without changes.

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Q: Describe a system you designed from scratch.

*Situation:* My previous company needed an internal notification service that multiple product teams could use.

*Task:* I was the sole engineer responsible for the design and the first production version.

*Action:* I chose an event-driven architecture using a message queue so producers and consumers stayed decoupled. I documented trade-offs between at-least-once and exactly-once delivery, and went with at-least-once plus idempotency keys on the consumer side.

*Result:* The service was adopted by several product teams soon after launch and ran without major incidents through its first production period.

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Q: How do you handle technical debt in a codebase you inherit?

*Situation:* I joined a team that owned a legacy payments module with minimal test coverage and no documentation.

*Task:* My first project required adding a new payment method to this module.

*Action:* Before writing any new code, I mapped the module's behaviour through integration tests. I refactored only the sections I was directly touching, added inline comments explaining non-obvious logic, and raised a separate ticket for the broader cleanup so the team could prioritise it properly.

*Result:* The new payment method shipped without breaking existing flows, and the team had a concrete starting point for the broader refactor.

For coding questions: Think out loud before you type. Clarify constraints first (input size, edge cases, time or space requirements). Start with a working solution, then optimise. Explain your complexity analysis before the interviewer has to ask.

For system design questions: Ask clarifying questions before drawing anything. Cover requirements, rough scale estimates, storage choices, the high-level design, APIs, and data flow. Topi interviewers typically focus on real-world trade-offs, so explaining why you ruled out an option is as important as explaining what you chose.

For behavioural questions: Use STAR (Situation, Task, Action, Result). Keep Situation and Task brief. Spend most of your time on Action. Quantify results where you genuinely can, but do not invent numbers. Candidates report that Topi interviewers often follow up with 'what would you do differently?' so prepare a reflection for each story.

For 'tell me about yourself': Structure it as: where you started, what you built, what you learned, and why Topi. Keep it to about two minutes and end with a genuine reason you are interested in the role.

Candidates report that Topi looks for engineers who communicate their thinking clearly, not just engineers who arrive at correct answers. Key signals that interviewers typically watch for:

Ownership mindset: Do you treat problems as yours to solve, or do you wait for direction? Stories where you spotted an issue and fixed it without being asked tend to land well.

Trade-off thinking: There is rarely one right answer in engineering. Explaining why you ruled out an option is often as valuable as explaining why you chose the one you did.

Communication across roles: Can you explain a technical decision to a non-technical colleague? Behavioural questions often probe this directly.

Curiosity and continuous learning: Product companies move quickly. Candidates who show a pattern of picking up new tools or domains independently tend to do well.

Code quality habits: Expect questions or live coding that probe how you think about testing, readability, and maintainability, not just correctness.

Phase 1: Coding fundamentals
Focus on data structures and algorithms: arrays, hashmaps, trees, graphs, and dynamic programming. Solve problems consistently in the language you are most comfortable with. Aim for steady daily practice rather than last-minute cramming.

Phase 2: System design
Practise designing systems end-to-end. Common topics include notification services, payment processing, URL shorteners, and rate limiters. Study load balancing, caching strategies, database sharding, and message queues.

Phase 3: Behavioural preparation
Write down several stories from your work history covering ownership, conflict, failure, and learning. Map each to STAR format and practise saying them out loud, not just reading them silently.

Phase 4: Company research
Read about Topi's product, recent news, and engineering culture from public sources such as their blog, LinkedIn, and posts from current or former employees. Prepare a few genuine questions to ask your interviewers.

Phase 5: Mock interviews
Do at least one timed mock coding session and one system design session before your actual interview. Recording yourself helps you catch filler words and unclear explanations.

1. Jumping straight into code. Candidates who skip clarifying questions often solve the wrong problem. Confirm constraints before you start writing.

1. Going silent during hard problems. Interviewers want to hear your thought process. A wrong answer explained clearly often beats a correct answer delivered in silence.

1. Generic behavioural answers. Saying 'I am a team player' without a specific story signals a lack of preparation. Every answer should be grounded in a real situation.

1. Ignoring edge cases. Not handling null inputs, empty arrays, or overflow conditions in coding rounds signals that you do not think defensively about your code.

1. Underselling impact. Many candidates describe what they did but not what changed as a result. End every STAR story with a clear outcome.

1. Not asking questions at the end. Candidates who ask nothing signal low interest. Prepare genuine questions about the team, the codebase, or the product direction.