Oolka Software Engineer Interview: Questions & Prep (2026)

Oolka has 12 Software Engineer openings as of July 2026. Candidates report a process that typically runs three to four stages: a recruiter screening call, one or two technical rounds covering coding and system design, and a final conversation with a senior engineer or hiring manager focused on past projects and team fit.

The technical rounds typically assess data structures, algorithms, and system design thinking. Oolka's style, based on candidate reports, leans conversational rather than purely whiteboard-based, so talking through your reasoning clearly matters as much as arriving at the correct answer.

Software Engineer salaries vary by experience. The ranges below come from knok jobradar data for Software Engineer roles across India (July 2026):

Use these as a benchmark when evaluating or negotiating your offer.

These are the questions candidates report most frequently in Software Engineer interviews at product companies, including Oolka:

1. Walk me through your most complex project from design to deployment.
2. How do you debug a production issue when logs are unclear or missing?
3. Design a notification service that needs to handle high message volume reliably.
4. What is the difference between horizontal and vertical scaling, and when would you choose each?
5. Tell me about a time you disagreed with a technical decision on your team.
6. How do you balance handling technical debt with delivering new features on schedule?
7. Explain how you would build a feature that needs to be both fast and highly reliable.
8. Describe your experience with REST APIs and how you have handled API versioning in practice.
9. Tell me about a time you improved the performance of a system or service.
10. How do you make sure your changes do not break existing functionality?
11. What does your code review process look like, both when reviewing others and when receiving feedback yourself?
12. Describe a time you had to learn a new technology quickly to solve a problem at work.

Q: Tell me about a time you improved the performance of a system or service.

*Situation:* The search API at my previous company was returning results slowly during peak hours, causing users to leave the page before results loaded.

*Task:* I was asked to find the bottleneck and fix it before an upcoming product release, without doing a full rewrite.

*Action:* I profiled the query path and found that three separate database calls were running sequentially when they could run in parallel. I restructured the code to execute those calls concurrently using async patterns, then added a cache layer for the most frequent search queries.

*Result:* Response times dropped sharply, the release shipped on time, and the search page drop-off rate fell noticeably over the following week.

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Q: Describe a time you disagreed with a technical decision on your team.

*Situation:* My team planned to store all user session data in a single relational table. I felt this would not scale well as our user base grew.

*Task:* I needed to raise my concern constructively without blocking the sprint or coming across as obstructive.

*Action:* I put together a short comparison document covering the proposed approach against a Redis-based session store, and ran a simple load test locally to back it up. I presented it in the next planning meeting, acknowledged the trade-offs honestly, and suggested a pilot on one service before committing fully.

*Result:* The team agreed to the pilot. It worked well, and the approach was rolled out across the remaining services over the following quarter. My manager later cited this as an example of proactive ownership in my performance review.

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Q: Walk me through your most complex project from design to deployment.

*Situation:* At my previous company, the operations team had to manually pull data from several microservices each time a client audit came up. It was slow and error-prone.

*Task:* I was the sole engineer assigned to build an internal bulk-export tool, with a deadline tied directly to an upcoming audit.

*Action:* I started with a lightweight design document, aligned on API contracts with each service team, built an orchestration layer using a job queue, and added a status dashboard so the ops team could track exports in real time. I ran a full staging test with simulated load before the release.

*Result:* The tool launched on time, handled the audit without issues, and the ops team adopted it as their standard workflow. It removed a significant manual step from their weekly process.

STAR for behavioural questions: State the context briefly (two or three sentences), describe what you personally were responsible for, explain the specific steps you took (this is the longest part), and close with a concrete result. If you have no metric to share, describe the outcome in plain terms: 'the team shipped on time', 'the client did not escalate.'

Clarify, Design, Trade-off for system design: Open every system design question by asking about scale, expected load, and constraints before drawing anything. Then outline the high-level components. Finally, walk through trade-offs between your choices and realistic alternatives. Interviewers at product companies typically care more about your reasoning than a perfect textbook diagram.

Think-out-loud for coding questions: Restate the problem in your own words before writing any code, talk through your approach, write clean readable code, then test it with a simple case and an edge case. Thinking out loud shows your problem-solving process, which counts even if you do not finish in time.

Technical depth paired with clear communication. Interviewers want to see that you can solve real problems and explain your thinking to a teammate who was not in the room when you built it.

Ownership mentality. Candidates who speak about past work in terms of what they personally drove, rather than vague 'we built this' framing, consistently stand out. Oolka, like most product companies, looks for engineers who take end-to-end responsibility, not just people who write code to spec.

Practical experience over textbook answers. In system design discussions, talking about trade-offs you actually navigated in past roles is more convincing than reciting a canonical architecture. Ground your answers in real decisions you made and the reasoning behind them.

Collaborative instinct. Candidates report that Oolka interviewers appreciate engineers who ask clarifying questions before diving in, rather than rushing to answer. This signals you would be a thoughtful teammate in fast-moving, ambiguous situations.

Learning agility. Growing companies move quickly and the stack evolves. Interviewers typically look for evidence that you pick up new tools when needed and are comfortable operating outside your current area of expertise.

Two to three weeks before the interview

Revisit core data structures and algorithms: arrays, linked lists, trees, graphs, hash maps, sorting, searching, and dynamic programming basics. Aim to solve at least two problems per day on a practice platform. For each solution, check your time and space complexity. Familiarity here builds the speed you need in a live round.

One to two weeks before

Focus on system design. Study the building blocks: load balancers, caches, relational versus document databases, message queues, and CDN basics. Practice designing three or four common systems out loud (a notification service, a URL shortener, a feed ranking system). Record yourself if possible and play it back. Hearing your own explanation helps you catch filler words and unclear reasoning.

Final week

List three to five past projects you are proud of and prepare a two-minute STAR story for each. Research Oolka publicly: their product, any recent news, and the kinds of engineering problems they are likely solving. Prepare thoughtful questions to ask your interviewer. Knowing what Oolka builds makes your answers feel specific rather than generic.

Run at least two full mock interviews with a peer or on a mock interview platform. Review your weak areas. Have your salary expectation ready based on market bands for your experience level, and know your negotiation floor before the offer arrives.

If you want to make sure you do not miss new Oolka openings while you prepare, knok checks 150+ job sites nightly, applies to jobs matching your resume, and messages HR for you so no opportunity slips by.

Jumping into code before clarifying the problem. Many candidates start writing the moment a coding question is asked. Take thirty seconds to restate the problem and confirm edge cases before writing a single line. This alone separates strong candidates from average ones.

Vague behavioural answers. Saying 'I worked with my team to solve the issue' without any specifics tells the interviewer almost nothing. Name your exact actions, even when the outcome was modest.

Ignoring trade-offs in system design. There is no perfect architecture. Candidates who say 'I would use microservices' without explaining why, or what they give up, come across as less experienced than those who openly discuss costs and alternatives.

Skipping self-testing on coding questions. After writing your solution, walk through it with a simple example and at least one edge case. Many candidates skip this step and miss obvious bugs they would have caught with ten extra seconds of checking.

Arriving without questions for the interviewer. Asking thoughtful questions about the team, the technical challenges, or how success is measured signals genuine interest. Saying 'I have no questions' can read as disengagement.