CleverTap is a retention-cloud company with strong engineering presence in Mumbai and Bengaluru.
Their SWE process leans heavily on distributed systems and large-scale data architecture, reflecting the 10-billion-plus events per day that flow through their platform. You should be comfortable designing multi-region Kafka pipelines, time-series stores, and low-latency query engines before you walk in.
About CleverTap
CleverTap is a Mumbai-based mobile customer engagement and analytics platform, helping consumer apps retain users through behavioural analytics, A/B testing, and targeted messaging.
Apply via CleverTap careers page or LinkedIn; referrals from Mumbai or Bengaluru offices are common
Recruiter screen (20 min) covering experience level and salary expectations
Online DSA assessment: two to three problems in 60-90 minutes
Technical interview 1: DSA problem-solving and code walkthrough
Technical interview 2: system design focused on high-throughput data ingestion
Technical interview 3 or senior engineer review: past project deep dive and architecture decisions
HR round: offer discussion, joining timeline, and culture fit
Online Assessment (60-90 min)
two to three DSA problems ranging from medium to hard; dynamic programming and graph traversal appear frequently.
Technical Round 1 (45-60 min)
live coding with emphasis on optimal solutions, explaining trade-offs, and handling edge cases.
Technical Round 2 (60-75 min)
system design question such as designing a real-time event counter or a user segmentation engine for 50M daily active users.
Senior Review Round (45 min)
architecture critique of a past project, scaling decisions, and distributed systems depth.
HR Round (20-30 min)
compensation, start date, and team placement discussion.
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
2 more questions. Sign up to unlock all
Sign up free: unlock all questionsThe typical CleverTap recruitment process has 7 stages: Apply via CleverTap careers page or LinkedIn; referrals from Mumbai or Bengaluru offices are common → Recruiter screen (20 min) covering experience level and salary expectations → Online DSA assessment: two to three problems in 60-90 minutes → Technical interview 1: DSA problem-solving and code walkthrough → Technical interview 2: system design focused on high-throughput data ingestion → Technical interview 3 or senior engineer review: past project deep dive and architecture decisions → HR round: offer discussion, joining timeline, and culture fit.
CleverTap typically conducts 5 interview rounds: Online Assessment (60-90 min): two to three DSA problems ranging from medium to hard; dynamic programming and graph traversal appear frequently.; Technical Round 1 (45-60 min): live coding with emphasis on optimal solutions, explaining trade-offs, and handling edge cases.; Technical Round 2 (60-75 min): system design question such as designing a real-time event counter or a user segmentation engine for 50M daily active users.; Senior Review Round (45 min): architecture critique of a past project, scaling decisions, and distributed systems depth.; HR Round (20-30 min): compensation, start date, and team placement discussion..
HireStepX recommends the STAR-D framework for this type of interview: Situation, Task, Action, Result, then Distributed trade-offs: adds a mandatory layer on consistency, availability, and partition tolerance for every design answer
To answer this question well, HireStepX recommends the STAR-D approach: Situation, Task, Action, Result, then Distributed trade-offs: adds a mandatory layer on consistency, availability, and partition tolerance for every design answer Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR-D approach: Situation, Task, Action, Result, then Distributed trade-offs: adds a mandatory layer on consistency, availability, and partition tolerance for every design answer Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR-D approach: Situation, Task, Action, Result, then Distributed trade-offs: adds a mandatory layer on consistency, availability, and partition tolerance for every design answer Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR-D approach: Situation, Task, Action, Result, then Distributed trade-offs: adds a mandatory layer on consistency, availability, and partition tolerance for every design answer Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR-D approach: Situation, Task, Action, Result, then Distributed trade-offs: adds a mandatory layer on consistency, availability, and partition tolerance for every design answer Ground your answer in a specific real example from your own experience.