As a Software Engineer at Vivriti Group, you are tasked with building the high-performance infrastructure that powers one of India’s most significant financial technology platforms. This role is pivotal in transforming complex financial workflows into scalable, reliable, and efficient digital solutions. You will work within a high-stakes environment where the quality of your code directly influences the company's ability to facilitate credit and financial inclusion at scale. You will contribute to a product ecosystem that demands both technical rigor and a deep understanding of business logic. Whether you are optimizing backend services, designing robust database schemas, or refining API architectures, your work serves as the backbone for the firm's operations. The role is designed for engineers who thrive in fast-paced environments where the intersection of Core Java, Spring Boot, and System Design is not just a requirement, but a daily necessity. ##### Tip Vivriti Group values candidates who can articulate the "why" behind their technical decisions. Expect to defend your architectural choices during design discussions.
Online Assessment
reportedCandidates begin with an online assessment or a home-based coding challenge.
What to demonstrate
- Candidates begin with an online assessment or a home-based coding challenge
- Depth in Java
How to prepare
- Answer aloud and timed: Explain the difference between checked and unchecked exceptions in Java.
- Answer aloud and timed: How do you implement custom exception handling in a real-world scenario?
Technical Interviews
reportedMultiple rounds of technical interviews that increase in intensity.
What to demonstrate
- Multiple rounds of technical interviews that increase in intensity
- Depth in Java
How to prepare
- Answer aloud and timed: What are the core principles of Spring Boot and how does it manage dependency injection?
- Answer aloud and timed: Describe the memory management process in Python or Java.
Final Leadership Discussions
reportedFinal discussions with leadership to assess overall fit and alignment.
What to demonstrate
- Final discussions with leadership to assess overall fit and alignment
- Depth in Java
How to prepare
- Answer aloud and timed: How would you optimize a query that is performing slowly in a production database?
- Answer aloud and timed: Solve a problem involving Dynamic Programming to find an optimal path or value.
PracHub editorial advice for the preparation topics above.
Own your projects
Be prepared to discuss every technical decision made in the projects listed on your resume. You should be able to justify why you chose a specific technology or architectural pattern.
Practice "Thinking Out Loud
During coding rounds, the interviewer is more interested in your problem-solving approach than just the final code. Describe your logic as you write.
Ask Clarifying Questions
Never jump straight into a solution for a system design question. Ask about scale, constraints, and priorities first.
Be ready for behavioral inquiries
While technical skills are the focus, be prepared to discuss how you handle tight deadlines or conflicting priorities within a team.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Describe the memory management process in Python or Java.
Describe the memory management process in Python or Java.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
Solve a problem involving Dynamic Programming to find an optimal path or value.
Solve a problem involving Dynamic Programming to find an optimal path or value.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Given a set of requirements, write a function to pair elements based on specific logical constraints.
Given a set of requirements, write a function to pair elements based on specific logical constraints.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
How would you handle large datasets when performing search operations?
How would you handle large datasets when performing search operations?
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Implement a solution to a medium-difficulty coding problem with an added functional extension.
Implement a solution to a medium-difficulty coding problem with an added functional extension.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Explain the time and space complexity of your proposed solution.
Explain the time and space complexity of your proposed solution.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
How would you optimize a query that is performing slowly in a production database?
How would you optimize a query that is performing slowly in a production database?
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Design the class structure and database schema for a generic banking or lending service.
Design the class structure and database schema for a generic banking or lending service.
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Explain the difference between checked and unchecked exceptions in Java.
Explain the difference between checked and unchecked exceptions in Java.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How do you implement custom exception handling in a real-world scenario?
How do you implement custom exception handling in a real-world scenario?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What are the core principles of Spring Boot and how does it manage dependency injection?
What are the core principles of Spring Boot and how does it manage dependency injection?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How do you ensure high availability in a distributed system?
How do you ensure high availability in a distributed system?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Explain how you would model the relationship between users, accounts, and transactions in a database.
Explain how you would model the relationship between users, accounts, and transactions in a database.
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
How do you approach designing an API that is both secure and scalable?
How do you approach designing an API that is both secure and scalable?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Discuss the trade-offs between different database types for a specific application use case.
Discuss the trade-offs between different database types for a specific application use case.
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Exports duplicate a row range about once a week
Roughly once a week an export writes a file containing a duplicated range of rows. The affected job_run rows show attempt = 1, status = succeeded, one started_at, and a lease_owner naming a different host from the one whose logs show the job starting. Leases last 30 seconds and are heartbeated every 10 from inside the handler; lease_expires_at is computed on the worker and compared against the database's now(). Find the mechanism, and give a fix that holds even if you cannot fix the clocks.
Approach
- Start from the fact that eliminates the obvious answer. attempt = 1 means no retry was recorded, so this is not a re-run after failure; two workers ran the same row concurrently and the takeover path never touched the counter. lease_owner naming a host other than the one that started the job is the same statement from the other side.
- Enumerate the mechanisms that cause a premature takeover, then find the signal that separates them. Either the lease genuinely expired because the heartbeat did not fire, which is what happens when the heartbeat runs on the handler's own thread and the handler makes a long blocking call, or it only appeared expired because two clocks disagree, since lease_expires_at is written from the worker's clock and evaluated against the database's. The discriminator is the distribution: incidents clustered on the longest exports indict the heartbeat, incidents clustered on one host indict skew. Measure both, and measure each host's offset against the database directly.
- Read the reclaim query precisely. In PostgreSQL now() is transaction start time, not statement time, so a reclaimer holding a long transaction compares against an older timestamp than expected; clock_timestamp() is the statement-time function. This is worth ruling in or out before you redesign anything, because it changes which rows look expired.
- Remove the second clock rather than trying to synchronise it. Issue and extend the lease in the database, with lease_expires_at = now() + interval '30 seconds' in both the claim and the heartbeat, so exactly one clock is ever compared and worker skew stops mattering to this predicate.
Follow-up
- The displaced worker has already streamed half the file to object storage. What makes that side effect safe to repeat?
- You now count takeovers. What alert fires on that counter, and at what threshold?
Built from the rounds and topics Vivriti Group candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Vivriti Group loop
- Write out the reported sequence: Online Assessment, Technical Interviews, Final Leadership Discussions.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Java
- Spend the session on Java, which Vivriti Group candidates report being tested on.
- Write one worked example in Java and time yourself on it.
Deliverable: One timed worked example in Java.
03Work Spring Boot
- Spend the session on Spring Boot, which Vivriti Group candidates report being tested on.
- Write one worked example in Spring Boot and time yourself on it.
Deliverable: One timed worked example in Spring Boot.
04Work End-to-End Web Development
- Spend the session on End-to-End Web Development, which Vivriti Group candidates report being tested on.
- Write one worked example in End-to-End Web Development and time yourself on it.
Deliverable: One timed worked example in End-to-End Web Development.
05Answer out loud: Technical Fundamentals and Core Programming
- Answer aloud, timed: Explain the difference between checked and unchecked exceptions in Java.
- Answer aloud, timed: How do you implement custom exception handling in a real-world scenario?
Deliverable: Spoken answers to 2 reported Technical Fundamentals and Core Programming question(s), under time.
06Answer out loud: Data Structures and Algorithms
- Answer aloud, timed: Solve a problem involving Dynamic Programming to find an optimal path or value.
- Answer aloud, timed: Given a set of requirements, write a function to pair elements based on specific logical constraints.
Deliverable: Spoken answers to 2 reported Data Structures and Algorithms question(s), under time.
07Answer out loud: System Design and Architecture
- Answer aloud, timed: Design the class structure and database schema for a generic banking or lending service.
- Answer aloud, timed: How do you ensure high availability in a distributed system?
Deliverable: Spoken answers to 2 reported System Design and Architecture question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
Turn a code review disagreement into a decision
A colleague's change updates a row with UPDATE resource SET version = version + 1 WHERE resource_id = $1 AND version = $2 and treats an affected-row count of zero as a successful no-op. You read that as a silently lost update; they think returning 200 is friendlier to clients than returning a conflict. Describe how you have handled a review disagreement of this shape: what goes in the comment, when you leave the thread, and who decides. Then write the comment you would leave here, in under 80 words.
Approach
- Sort the disagreement before writing anything. A silently discarded write is a correctness claim about data; the choice between 409 and 412 is taste. Only the first justifies blocking a merge, and saying which one you are doing is most of the value of the comment.
- Make the claim reproducible in the comment itself with an interleaving rather than a principle: A reads version 7, B reads version 7, B commits version 8, A's predicate matches zero rows, A is told it succeeded and A's edit is gone.
- Offer the alternative with its cost attached: return 409 carrying the current version and the revision that won, so the client can re-read and re-apply. Note that automatic retry is not the fix, because a retry re-reads the winner's state and reapplies an intent formed against data that no longer exists.
- Apply an escalation rule you can state: two round trips on the thread, then a call, and the service's owner decides rather than the reviewer. A reviewer who cannot be overruled is a bottleneck with extra steps.
Follow-up
- Where would you put the test that fails if someone reintroduces the swallowed zero rowcount?
- The author says clients cannot handle a 409. How do you check whether that is true?
Tell callers you do not own that their integration breaks
A field in a write endpoint's response must change shape. You own the endpoint; you do not own the four internal callers or the outbound webhook consumers who read it. Describe a deprecation you were responsible for: what you shipped first, how you established who was actually reading the field, the window you gave and what set its length, what you did about the consumer who never moved, and how you decided removal was safe. Name the signal you used, not the announcement you sent.
Approach
- Establish the reader set empirically rather than from a wiki of owners: per-field usage counters keyed by principal, or access logs attributed to a consumer. State the blind spot of whichever you pick, since a consumer that reads the field only on a monthly job will not appear in a week of logs.
- Ship additive first. Populate the new field alongside the old one so no reader is forced to move, which is also what keeps a rolling deploy safe, because old and new instances answer the same requests at the same time and a rollback must still find the old shape present.
- Set the window from the slowest legitimate consumer's release cadence, not from your calendar, and decide separately what to do for a consumer with no release process at all, such as an external webhook endpoint you can only email.
- Convert silence into evidence before you rely on it: a short, low-traffic removal window that makes a still-dependent consumer fail visibly and loudly while you are watching, rather than at three in the morning after you have moved on.
Follow-up
- How would you detect a consumer that reads the field only during a monthly export?
- One caller refuses to move and has a commercial relationship behind it. What changes in your plan and what does not?
Narrate an outage you owned from page to postmortem
Pick an incident you personally drove, ideally one where writes were affected rather than reads. In six to eight minutes: state the symptom as it first appeared on a dashboard, the blast radius you established before you knew the cause, the mitigation you applied and when, the mechanism you eventually proved, and the follow-up that would prevent a repeat. Bring numbers: error rate, tenants affected, minutes to mitigate, minutes to resolve. If you cannot name what you measured, choose a different incident.
Approach
- Open on the signal rather than the cause: which metric at which percentile moved, on which service, at what time, so the listener follows the same evidence you had rather than a conclusion you already reached.
- Separate mitigation from diagnosis out loud. State what you did to stop the bleeding (flag off, shed traffic, drain a lease, roll back a deploy) and say plainly that you did it before the mechanism was known, because those are two jobs with different deadlines.
- Establish blast radius in countable terms: how many tenants, how many writes, and crucially whether the effect was loss or only delay. An append-only revision table or a pending outbox row means the change survived and the projection was merely behind, which is a repair rather than a data-loss incident.
- Prove the mechanism instead of asserting it. Name the trace span that grew, the plan that flipped to a sequential scan, the lease that expired, plus one alternative you ruled out and the signal that stayed flat while you ruled it out.
Follow-up
- What would you do differently in the first five minutes, given the same dashboard and no more information?
- Which follow-up action did you deliberately not take, and why was dropping it the right call?
- 01
A colleague's change updates a row with UPDATE resource SET version = version + 1 WHERE resource_id = $1 AND version = $2 and treats an affected-row count of zero as a successful no-op. You read that as a silently lost update; they think returning 200 is friendlier to clients than returning a conflict. Describe how you have handled a review disagreement of this shape: what goes in the comment, when you leave the thread, and who decides. Then write the comment you would leave here, in under 80 words.
- 02
A field in a write endpoint's response must change shape. You own the endpoint; you do not own the four internal callers or the outbound webhook consumers who read it. Describe a deprecation you were responsible for: what you shipped first, how you established who was actually reading the field, the window you gave and what set its length, what you did about the consumer who never moved, and how you decided removal was safe. Name the signal you used, not the announcement you sent.
- 03
Pick an incident you personally drove, ideally one where writes were affected rather than reads. In six to eight minutes: state the symptom as it first appeared on a dashboard, the blast radius you established before you knew the cause, the mitigation you applied and when, the mechanism you eventually proved, and the follow-up that would prevent a repeat. Bring numbers: error rate, tenants affected, minutes to mitigate, minutes to resolve. If you cannot name what you measured, choose a different incident.
How long should I spend preparing?
Given the technical rigor, most successful candidates dedicate 3–4 weeks of focused study, specifically reviewing Core Java and system design patterns.
Vivriti Group Software Engineer candidate reports ↗What is the most common reason for rejection?
A lack of depth in understanding the languages or frameworks used. It is not enough to know how to use a library; you must understand how it functions under the hood.
Vivriti Group Software Engineer candidate reports ↗Is the interview process strictly virtual?
The process often involves a mix of online assessments and in-office technical rounds in Chennai. Be prepared for both formats.
Vivriti Group Software Engineer candidate reports ↗How does the team view "culture fit"?
Vivriti Group looks for problem solvers who are communicative and collaborative. You should be able to explain your thought process clearly and handle feedback during technical discussions.
Vivriti Group Software Engineer candidate reports ↗What topics does Vivriti Group test in interviews?
Vivriti Group interviews most often cover Java, Spring Boot, End-to-End Web Development, Python, and Coding Interviews. The exact emphasis depends on the specific role you apply for.
Vivriti Group Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Vivriti Group Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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