All Generation Tech Software Engineer Interview: Questions & Prep (2026)

All Generation Tech currently has 20 open Software Engineer roles (as of July 2026), making this an active window to apply. Candidates report the process typically involves a recruiter screening call, one or two technical rounds, and a final discussion with a hiring manager or team lead. The full cycle usually takes a few weeks from first contact to offer.

These salary bands come from the knok jobradar dataset (data as of July 2026) and reflect the broader Software Engineer market across India, where 5,395 active listings are currently open.

Based on what candidates report for Software Engineer interviews at companies like All Generation Tech, here are the questions you should prepare for:

1. Walk me through the most complex system you have designed or contributed to.
2. How do you handle a production incident when you are on call?
3. What are the trade-offs between REST and GraphQL, and when would you choose one over the other?
4. How do you approach writing tests for a new feature?
5. Tell me about a time you disagreed with a technical decision your team made.
6. Design a system like a URL shortener or a notification service.
7. How do you manage technical debt alongside feature delivery?
8. Describe a time you had to learn an unfamiliar technology under time pressure.
9. How do you ensure code quality during code reviews?
10. Describe your experience with CI/CD pipelines and deployment automation.
11. How do you prioritize tasks when you have competing deadlines?
12. Tell me about a performance problem you identified and fixed in production.

Here are three STAR-format answers you can adapt for your own experience.

Q: Describe a time you resolved a production incident.

*Situation:* Our payment processing service was timing out for a portion of users during peak hours.

*Task:* I was the engineer on call and needed to diagnose and stabilize the system quickly while keeping the team informed.

*Action:* I checked application logs and found the database connection pool was exhausted. I temporarily increased the pool limit to restore service, then traced the root cause to a query holding connections open longer than needed. I patched the query and added a connection timeout as a safeguard.

*Result:* Service returned to normal. I also added a monitoring alert so the team would catch similar issues before users noticed.

Q: Tell me about a time you had to learn a new technology fast.

*Situation:* My team decided to migrate deployments to Kubernetes, and I had no hands-on experience with it at the time.

*Task:* I was expected to containerize two of our core services within a tight project deadline.

*Action:* I worked through the official Kubernetes documentation in the first few days, set up a local cluster to experiment, and paired with a colleague who had prior experience for focused knowledge transfer.

*Result:* Both services were deployed on schedule. I also put together a short internal guide that helped two other teammates onboard faster.

Q: Describe a time you disagreed with a technical decision.

*Situation:* My team proposed a fully distributed microservices architecture for a new internal tool expected to serve a small user base.

*Task:* I felt the added operational complexity was not justified for the expected scale, and I needed to raise this constructively.

*Action:* I prepared a short written comparison covering deployment overhead, operational complexity, and likely traffic patterns. I shared it before the design meeting and proposed a modular monolith as a middle path.

*Result:* The team adopted the modular monolith approach. It shipped faster and has been easier to maintain, with a clear path to extract services later if the need arises.

STAR (Situation, Task, Action, Result) is the standard for behavioral questions. Keep each component brief. The 'Action' section should take the most time, since that is where you demonstrate your thinking and decision-making.

Think aloud during coding rounds. Interviewers evaluate your problem-solving process, not just whether you reach the correct answer. State your assumptions, name edge cases before you start coding, and explain your time and space complexity after you finish.

Clarify, then design for system design questions. Ask about expected scale, read/write ratio, and latency requirements before drawing any boxes. Walk through your design layer by layer: API contract, data model, storage choice, caching strategy, and failure handling. End by discussing trade-offs in your choices.

PREP (Point, Reason, Example, Point) works well for opinion questions such as 'What is your preferred tech stack?' Lead with your answer, explain why, give a concrete example from past work, then restate your main point.

Clear thinking over clever code. Interviewers typically care more about whether you approach a problem methodically than whether you produce the most optimal solution right away. Show your reasoning at every step.

Communication under pressure. In coding and design rounds, candidates who ask clarifying questions and narrate their reasoning tend to leave a stronger impression than those who go quiet and produce a perfect answer in silence. Silence reads as uncertainty.

Ownership mindset. Behavioral questions often probe whether you take responsibility when things go wrong and whether you can drive work to completion without constant direction from a manager.

Concrete past experience. Interviewers typically look for specific examples from your history, not hypothetical scenarios. 'Tell me about a time...' questions are looking for real situations with real outcomes and your specific contribution.

Collaboration signals. For mid-level and senior roles, interviewers typically assess whether you can influence technical decisions, give useful feedback in code reviews, and work across teams without creating friction.

Week 1: Data structures and algorithms. Focus on arrays, strings, hashmaps, trees, and graphs. Practice problems in your preferred language. Aim for speed on simpler problems and clarity on medium-difficulty ones.

Week 2: System design. Study core building blocks: load balancers, relational vs. NoSQL databases, caching layers, message queues, and CDNs. Practice designing common systems from scratch and explaining the trade-offs in each choice.

Week 3: Behavioral preparation. Write out several stories from your work history using the STAR format. Cover a technical failure, a disagreement you navigated, a time you learned quickly, a complex delivery, and a cross-team collaboration.

Week 4: Mock interviews and company research. Do timed mock interviews with a peer or a practice tool. Read about All Generation Tech's products, the tech stack mentioned in their job postings, and recent company news. Prepare a few thoughtful questions to ask the interviewer at the end.

On the day: Re-read the job description before the call. Have your STAR stories mentally tagged by topic so you can pull the right one quickly when a behavioral question comes up.

If you want to keep finding and applying to new Software Engineer roles while you prepare, knok checks 150+ job sites nightly, applies to jobs that match your resume, and messages HR on your behalf.

1. Starting to code before clarifying the problem. Many candidates lose marks by solving the wrong version of the question. Spend a minute asking about input constraints, edge cases, and expected output before writing a single line.

1. Going silent during hard problems. If you are stuck, say so and talk through what you do know. Interviewers can guide you once they know where you are stuck. Silence gives them nothing to evaluate.

1. Giving vague answers to behavioral questions. Answers like 'I always make sure to communicate well with my team' signal nothing concrete. You need a specific story with a specific outcome and your specific contribution.

1. Not discussing time and space complexity. Even if your solution runs correctly, skipping complexity analysis suggests you have not fully thought through the approach.

1. Asking no questions at the end. Candidates who have no questions often come across as disengaged. Prepare a couple of genuine questions about the team, tech stack, or engineering culture.

1. Over-engineering system design. Adding every possible component without justification signals poor judgment. Design for the stated requirements, then explain how you would scale further only if the interviewer asks.