Big Assets Infra QA Engineer Interview: Questions, Experience & Prep (2026)

Big Assets Infra currently has 13 QA Engineer openings (knok job radar, July 2026), making it one of the more active hirers in the infrastructure tech space right now. QA Engineers here typically own end-to-end quality for large, complex systems, and the interviews reflect that by focusing on real-world judgment rather than textbook definitions.

Candidates typically report a process of 3-4 rounds: an initial HR or recruiter screen, one or two technical rounds covering test design, automation, and hands-on scenarios, and a final discussion with a senior engineer or hiring manager. Some teams also include a short take-home task asking you to write test cases for a given feature, though this varies by team and level.

Salary context for QA Engineers (459 openings tracked, July 2026):

Big Assets Infra's specific offer will depend on your experience band, current CTC, and how negotiations go. Having a competing offer in hand helps anchor the conversation.

These questions come up repeatedly in Big Assets Infra QA interviews, based on publicly reported candidate experiences and common patterns in infrastructure tech hiring:

1. Tell me about a critical bug you found just before a production release. What was your process?
2. How do you write a test plan when the requirements are incomplete or keep changing?
3. Which automation framework have you used most, and how did you choose it for your project?
4. Walk me through how you would test a high-volume transaction or payment module end to end.
5. How do you decide which test cases to automate and which to keep manual?
6. Describe a situation where a developer rejected your bug report. How did you handle it?
7. How do you approach API testing? Walk us through a real test you built using Postman or a similar tool.
8. Big Assets Infra systems handle high data volumes. How would you approach load or stress testing for a new module?
9. What metrics do you use to report quality health to your team lead or project manager?
10. How do you ensure regression coverage is maintained after each sprint release?
11. How have you contributed to shifting testing left in a previous role?
12. Tell me about a time you caught a defect in the requirements before development started. What was the impact?

Q: Tell me about a critical bug you found just before a production release.

*Situation:* My team was two days away from releasing a new payment reconciliation feature. I was completing final sanity checks on the staging environment.

*Task:* I needed to sign off on the feature for release clearance. I ran through the standard smoke test checklist, then decided to also cover an edge case involving a failed transaction followed immediately by a user retry.

*Action:* I discovered that when a transaction failed mid-flow and the user retried, the system created a duplicate debit entry in the database. I documented the bug with detailed reproduction steps, a screen recording, and database logs showing the duplicate entries. I escalated it as P1 directly to the dev lead with a clear impact statement and a suggested re-test plan.

*Result:* The release was delayed by one day while the fix was implemented and re-tested. The client never experienced the defect. My team lead later cited this as a case study for why edge-case testing matters even under deadline pressure.

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Q: How do you decide what to automate versus keep manual?

*Situation:* At my previous company, our regression suite was large and took nearly two full days to run manually before every release.

*Task:* I was asked to build an automation strategy to cut the regression cycle without reducing coverage.

*Action:* I scored each test case on three factors: how often the underlying feature changes (stability), how repeatable the steps are (automation suitability), and how business-critical the feature is. High-stability, high-criticality, repeatable cases went into the automation queue first. I excluded visual design checks, one-off exploratory scenarios, and tests requiring complex human judgment.

*Result:* We automated the majority of the regression suite within one quarter. The cycle dropped from nearly two days to a few hours, freeing the team for exploratory testing on new features. The framework was later adopted across other projects in the organisation.

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Q: Tell me about a time you caught a defect in the requirements before development started.

*Situation:* During sprint planning, the product team shared a user story for a new document upload feature. I reviewed it as part of our team's 'shift left' initiative.

*Task:* My role was to review the requirements carefully and raise any ambiguities before development started.

*Action:* I noticed the story described accepting files but gave no specific size limit, and the acceptance criteria made no mention of what should happen when an unsupported file type was uploaded. I raised two formal requirement defects in JIRA, tagging the product owner and the assigned developer with clear questions and failure-scenario examples.

*Result:* Both gaps were resolved in the same sprint before any code was written. The developer told me it saved a full day of rework. The updated story with precise size limits and error-handling criteria became the direct input for our test cases.

Use STAR for every behavioral question. Big Assets Infra interviewers want a story with a clear context, a specific action you took, and a concrete outcome. Spending too long on background without getting to your personal action is the most common way candidates lose points.

STAR in plain terms:

*Situation:* One or two sentences of context. What project, what team, what was the pressure or constraint?

*Task:* What was specifically your responsibility? Not the team's goal but your own.

*Action:* This is where most of your answer should live. What did you do, step by step? Avoid 'we' here. Use 'I' to make your contribution clear.

*Result:* What changed because of your action? A defect caught, a release saved, a process improved. Be as specific as you honestly can without inventing numbers.

For technical questions, use a structure of: define the concept in one sentence, give a real example from your work, then connect it back to why it mattered for the project. If asked about boundary value analysis, do not just recite the definition. Describe a test suite you designed using it and the edge case it actually caught.

For 'how would you test X' questions, walk through a structured mental checklist: understand requirements and risk areas first, design positive and negative test cases, add boundary and edge cases, identify what suits automation, and define clear exit criteria. This signals systematic thinking rather than just tool familiarity.

Based on commonly reported feedback from QA interview panels at infrastructure tech companies, here is what separates strong candidates from average ones.

Ownership, not just execution. Interviewers want to see that you treat quality as your responsibility through to the end. Candidates who say 'I raised the bug and it was the developer's problem after that' rarely progress. Describe how you followed through, even when it was uncomfortable.

Real examples, not textbook answers. When asked about testing techniques, the interviewer expects you to name a specific project, a specific feature, and a specific outcome. Generic answers about 'ensuring quality' without concrete detail score poorly at every level.

Comfort with incomplete requirements. Infrastructure systems often have evolving or thin specs. Interviewers will probe how you handle ambiguity. Show that you ask structured clarifying questions and document your assumptions rather than waiting for perfect requirements that never arrive.

Automation as a tool, not a target. Mature QA teams want engineers who know when not to automate. Candidates who claim to automate everything are seen as inexperienced. Discuss trade-offs honestly and show you have made real decisions about automation boundaries.

Communication with developers. QA at scale means navigating pushback on bugs, negotiating severity ratings, and keeping the team moving. Give examples that show you can raise hard issues professionally without burning bridges.

Week 1: Strengthen your technical foundation.

Review the core testing concepts that come up in almost every QA interview: test design techniques (equivalence partitioning, boundary value analysis, decision tables), the defect life cycle, and the difference between functional and non-functional testing. For Big Assets Infra specifically, brush up on API testing using Postman or REST Assured, since infrastructure products commonly involve service-to-service communication. Also review how QA integrates into a CI/CD pipeline.

Week 2: Build your story bank.

Write down five to seven real situations from your work history that map to the 12 questions listed above. For each one, fill out a STAR outline in writing before you try to say it out loud. Writing forces clarity and reveals gaps. Focus especially on a defect you caught before production, a professional disagreement with a developer you resolved well, and a deliberate automation decision you made with clear reasoning.

Week 3: Mock interviews and tool refreshes.

Ask a peer to run you through five to six of the questions above while you answer out loud, and record the session if possible. Watch for filler phrases, vague results, and the habit of saying 'we' instead of 'I.' Also revisit any tool you listed on your resume but have not used recently, whether that is Selenium, TestNG, JIRA, or your CI/CD pipeline setup.

Before the interview:

Read publicly available information about Big Assets Infra: what products they build, what technology stack shows up in their job descriptions, and what scale they operate at. Prepare two to three genuine questions for the interviewer about the team's QA maturity, their release cadence, and what a strong first few months in the role looks like.

Vague results in STAR answers. Saying 'the project was delivered on time' is weak. Saying 'we caught the defect two days before release and avoided a client-facing outage' is strong. Even when you cannot share exact figures, describe the concrete outcome in plain terms.

Over-claiming automation expertise. If Selenium or Cypress is on your resume, expect a follow-up question asking you to write or review actual code. Candidates who claim deep automation experience and then struggle with a basic locator strategy lose significant trust with interviewers quickly.

Ignoring non-functional testing. For an infrastructure company, performance, security, and reliability testing are core, not optional. If every answer covers only functional test cases, interviewers will assume you have a narrow view of quality.

Not preparing questions for the end. Candidates who say they have no questions are often seen as low-engagement. Prepare two genuine questions about the team, the product, or the biggest quality challenge they are currently trying to solve.

Underselling communication and collaboration. QA Engineers at Big Assets Infra work closely with developers, product managers, and sometimes clients. Interviewers care about how you communicate, not just how you test. If every answer is purely technical with no mention of collaboration, you miss a key part of the evaluation.

Memorising answers instead of knowing your stories. Interviewers often rephrase the same question to test whether you know the material or just rehearsed it. Know your real stories well enough to tell them at different levels of detail and in different orders without losing the thread.