Razorpay Interviews

I applied for the Lead Software Engineer role at RazorPay via LinkedIn at the end of August and received an interview call approximately one week later. With about 6 years of experience and a Tier 1 education, I come from a product-based startup where I was a core team member, deeply familiar with all systems.

Round 1: System Design (45 mins)

Round 2: Machine Coding (2 hours)

Round 3: System Design + LLD (45 mins)

Round 4: Hiring Manager (30 mins)

Round 5 & 6: Talent Acquisition + HR (30 mins)

I received an offer approximately 2.5 weeks after my last interview. Compensation details were shared separately.

I was contacted by a recruiter after a cold DM on LinkedIn regarding an SDE2 position at Razorpay. I took the online assessment in October 2025. The assessment was hosted on a platform called Evaluate and, while not strictly timed, had a 5-day expiration window.

The assessment began with 15 MCQs covering topics like RAG, temperature, TopP, and TopK, which I was unfamiliar with. Each MCQ had a strict 30-second time limit.

The core of the assessment was a Low-Level Design question where I needed to design a Version Control System similar to Git, with a strong emphasis on extensibility. The problem detailed specific functionalities to be implemented: init, add <regex>, checkout {-b}, reset HEAD~{int}, commit (-m and -am), status, log, diff, and help.

Interestingly, the assessment was proctored, but using an AI Code Assistant was explicitly permitted for the LLD problem. I utilized this by researching Git concepts and using ChatGPT to generate some prototype code within the platform's IDE. Unfortunately, the IDE proved buggy; it reverted to a state from several hours prior, causing me to lose all my recent work. Given that it was late and the link was close to expiring, I had to submit what I had. The IDE also presented numerous other bugs throughout the experience.

Recruter reached out via naukri Exp: 4 years Role: SSE

Round 1:

Design a in memory SQL like databases

• You should be able to store rows
• Column could be of int, string or boolean datatype
• We should be able to set a primary key or set of primary keys
• Create index on the primary key
• Should not break on concurrent operations
• Should be able to create tables, rows and columns

You can find more details about this quesiton on other interview experience on leetcode

Suggestions:

• Don't just directly jump into the problem understand the problem you should know how will you store the data and index the columns that is the important part.
• Keep input sanitization in mind for eg if you give a empty column name or things like that

Verdict: Rejected

Recently I gave Online Assesment at Razorpay in June 2025 and these were the questions which were asked. I have 4 years of experience as a data scientist, the role was Senior Machine Learning Engineer.

Platform: HackerEarth
Mode: Online Coding Test
Round: 1 (Online Assessment)
No. of Questions: 3
Duration: 90 Minutes
Difficulty: Medium to Hard

I recently interviewed for a Senior Software Engineer position at Razorpay after being referred. The interview took place on June 23rd, 2025, and included a machine coding round. I was tasked with designing a search engine-like system that needed to support adding and removing documents (treated as strings), efficiently returning all documents containing all words in a search query, and enabling document search via tags. I quickly understood the problem and implemented what I believed was the most optimal solution. However, I received feedback stating that my code lacked modularity and extensibility. I had even asked the interviewer for more details on potential future features to incorporate patterns for extensibility, but was told to stick to basic requirements. I also strongly disagree with the feedback regarding validations and edge cases, as we thoroughly tested these during the call, and my code was working fine. Unfortunately, I was rejected for the role.

I applied on linkedin and got a call from HR. She discussed the rounds I was gonna appear for i.e, 1. Machine coding 2. Web Fundamentals and JS 3. HR round

1. Machine coding round: I was asked to build a carousel component.

Although I never practiced this feature before the interview, I built and completed the functionalities but failed to complete the animations and failed to provide better UI. I was also asked some of the followup questions regarding UI/UX improvements.

Got rejection mail within 2 days.

Round 1: LLD Desing in-memory Pub-Sub model With feature of producer, consumer, siubscription, handling offset, and etc. Designed a fully working code in Java with using interfaces of memory based approach and queue interface as well For me seems like interviewer was fully satisfied.

Round 2: HLD Desing some config manager service which is being called by internl and external serviced which can serve some custom config for certain user. Discussion went good i present approach as well later on afger discussion he asked about for logging and monitoring what we can do etc. He seems convinced and happy for the approach

Its been 3 days since Interview but didn't heared back from HR, he is not picking the call as well

Once more rejection ADDED :)

LLD: design pub/sub queue

Implement a persistent pub-sub queue mechanism with guaranteed delivery of every published message for all the subscribed consumers in that subscribed topic in the same order.

HLD: design job scheduler

accept a file(job) and time/cron expression and schedule the jobs

HM: past experiences + resume

Exp : 2 Years, 10 Months
Current Comapany : SaaS Startup in Blr
Application Process: Applied via Referral

Round 1 - Machine Coding
Duration : 90 Minutes (Inlucding Intro, Question Explnation, Running the test cases and explaining the question)

Basic into and then interviewer gave this question

Expecation - Running Code

Your organization has started a new tech blog with interesting tech stories and you’re responsible for designing and
implementing an in-memory search engine, supporting the search functionality on the blog content.
Requirements:

1. It should be possible to create a dataset in the search engine.
2. It should be possible to insert and delete documents in a given dataset. Each document is simply a piece of text.
3. It should be possible to search through documents for a search pattern in a given dataset.
4. It should be possible to order the search results

public class SearchService {

private DocumentService documentService;
// pattern = search Query
public List<SearchResult> search(String blogName, String dataSet, String pattern, SortOrder sortOrder){
    Collection<Document> documentCollection = documentService.getAllDocuments(blogName,dataSet);
    List<SearchResult> results = new ArrayList<>();
    for(Document doc : documentCollection){
        int freq = countOccurance(doc.getText(),pattern);
        if(freq>0){
            results.add(new SearchResult(doc.getId(),freq));
        }
    }
    results.sort((a,b) -> sortOrder == SortOrder.ASC ?
            Integer.compare(a.getFreq(),b.getFreq()) :
            Integer.compare(b.getFreq(),a.getFreq()));
    return  results;
}
private int countOccurance(String text, String pattern) {

    int count = 0 , index = 0;
    while (true){
        int foundIndex = text.indexOf(pattern,index);
        if(foundIndex==-1){
            break; // no more to mach
        }
        count++;
        index = foundIndex + pattern.length();
    }
    System.out.println("Count of pattern " + pattern + " in content " + text + " = " + count);
    return count;
}

}

I recently appeared for the Razorpay SDE intern online assessment, and it was quite challenging yet insightful. The assessment was divided into two main sections. The first section was an objective section that consisted of 10 hard-level questions, covering concepts such as FCFS and SJF scheduling algorithms, along with stack and queue operations. Following this, there was a coding section which presented three problems of varying difficulty levels. Despite my best efforts, I was only able to solve one of these problems. This experience, while tough, truly highlighted areas where I need to improve, especially in dynamic programming, graph algorithms, and binary search, and provided valuable insights for future preparation.

My interview journey at Razorpay for the SDE-1 role spanned 20 days and consisted of three distinct rounds.

The first round was focused on Low-Level Design (LLD) and lasted 90 minutes. I was tasked with designing a photo-sharing application, which needed to incorporate a minimum of six core features plus a bonus feature. The discussion heavily revolved around various design patterns, specifically MVC (Model-View-Controller) and Singleton patterns.

Following that, I had a 1-hour Hiring Manager interview. This round delved into my previous projects, my approach to scaling strategies, and the technology choices I've made. There were also managerial questions concerning teamwork dynamics and conflict resolution.

The final round was a brief 15-minute HR interview where we discussed benefits and salary expectations. The HR representative was quite friendly and provided all the necessary information.

I participated in several interview rounds for the Senior Software Engineer position at Razorpay. The process included a Machine Coding round where I was asked to design a rate limiter, two Low-Level Design (LLD) rounds which included designing a wallet system, and a High-Level Design (HLD) round that also delved into my past projects, leadership skills, and behavioral aspects. An additional LLD round was conducted for me to assess my potential fit for a Lead Software Engineer role, given my prior experience and current compensation expectations. I cleared all rounds and was extended an offer for the Senior Software Engineer position, but I ultimately declined it as the proposed compensation was at least 30% lower than my current earnings.

HR contacted me in mid-May for the SDE position and initiated the interview process. There were two main rounds:

1. Machine Coding Round: I was asked to design a Rating service. The initial requirement was for a single user, which then needed to be scaled for multiple users, much like a survey system. I successfully coded and tested my solution and cleared this round.
2. Hiring Manager (HM) Round: This round involved in-depth discussions about my past projects and the tech stack I've worked with. There were a few questions related to automation, which I struggled to answer. I clearly communicated to the interviewer that my experience was purely on the backend side and I had no prior knowledge of automation. I realize I might need to upskill in that area and be more precise about related workflows in the future.

Unfortunately, the final verdict was a rejection.

I was initially contacted by a recruiter on Instahyre and received an OA link. The first round, an Online Assessment, consisted of 20 MCQ questions and two LeetCode medium-level problems.

The second round, Tech 1, was an interview with two POS team engineers who were both very supportive. They asked me questions on data structures like 'zigzag traversal of matrix', 'finding a loop in a linked list', and 'finding the intersection node of two linked lists'. There were also several questions related to Spring Boot and Java.

The third round, Tech 2, was with a principal engineer from the POS team. He began with an introduction and shared some background on working at RazorPay. I was able to answer almost all questions, except for one or two Java-related ones. The technical questions included 'given an array (1 -> n) find the non-duplicate number (allowed to modify input array)' and 'find a number which occurred twice in a sorted array (using binary search) and an unsorted array (using XOR logic)'. Additionally, there were questions about my projects, and specific topics like Java, Kafka, and Spring Boot. I managed to answer most of these, with only one or two Kafka-related questions posing a challenge.

The final round, with the Hiring Manager, was quite a frustrating experience. The HM was late by about 10 minutes, so I informed the recruiter and dropped the call. After some time, the recruiter called me back, saying the HM was available, so I rejoined. The HM immediately asked me to solve a LeetCode question without writing it down, just stating 'given an array find maximum sum subset'. I clarified if it was 'find the max sum of subarray' or 'find the max sum of subset'. I knew the optimal solution using Kadane's algorithm but tried to explain a brute-force approach first, detailing its time and space complexity. She seemed to misinterpret my explanation, wrongly swapping time and space complexities, which made me feel she was determined to reject me. I then explained and coded Kadane's algorithm. I initially presented a general approach, planning to address the all-negative numbers case later, but she pointed that out, so I fixed it. Following this, she asked some situation-based questions. I thought the round went well and was expecting a positive outcome, but I later received a rejection, with feedback stating that I was 'not able to find and check all possible scenarios for the given problem'. This feedback came as a surprise given my performance. Despite the HM round, all other interviewers were nice and helpful.