MoEngage is a customer engagement platform headquartered in San Francisco with a major engineering hub in Bengaluru.
Their SWE interviews in India assess your ability to build scalable real-time event pipelines and high-throughput data systems. Expect deep dives into Java or Python, distributed systems, and hands-on DSA across three to four technical rounds.
About MoEngage
MoEngage is a Bengaluru-based AI-powered customer engagement platform, enabling consumer brands to send personalized push notifications, emails, SMS, and in-app messages at scale.
Apply on MoEngage careers portal or LinkedIn; referrals from Bengaluru engineers speed screening
Recruiter call (15-20 min) to verify background and discuss team fit
Online coding assessment on HackerRank: two DSA problems in 75 minutes
Technical interview 1: DSA problem-solving and code-quality discussion
Technical interview 2: system design and past project deep dive
Hiring manager round covering engineering culture and growth expectations
Online Assessment (75 min)
two medium-to-hard DSA problems on HackerRank covering arrays, trees, or graphs.
Technical Round 1 (60 min)
live coding on a shared IDE; interviewers focus on time complexity, edge cases, and clean code.
Technical Round 2 (60-75 min)
system design for a feature like push notification fan-out or user segmentation at 100M events per day.
Hiring Manager Round (30-45 min)
behavioural questions, career trajectory, and a brief discussion of MoEngage product roadmap.
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Sign up free: unlock all questionsThe typical MoEngage recruitment process has 6 stages: Apply on MoEngage careers portal or LinkedIn; referrals from Bengaluru engineers speed screening → Recruiter call (15-20 min) to verify background and discuss team fit → Online coding assessment on HackerRank: two DSA problems in 75 minutes → Technical interview 1: DSA problem-solving and code-quality discussion → Technical interview 2: system design and past project deep dive → Hiring manager round covering engineering culture and growth expectations.
MoEngage typically conducts 4 interview rounds: Online Assessment (75 min): two medium-to-hard DSA problems on HackerRank covering arrays, trees, or graphs.; Technical Round 1 (60 min): live coding on a shared IDE; interviewers focus on time complexity, edge cases, and clean code.; Technical Round 2 (60-75 min): system design for a feature like push notification fan-out or user segmentation at 100M events per day.; Hiring Manager Round (30-45 min): behavioural questions, career trajectory, and a brief discussion of MoEngage product roadmap..
HireStepX recommends the PEDALS framework for this type of interview: Product-driven Engineering Design: define Problem, Estimate scale, Design APIs, Layout data models, Assess trade-offs, Scale the solution
To answer this question well, HireStepX recommends the PEDALS approach: Product-driven Engineering Design: define Problem, Estimate scale, Design APIs, Layout data models, Assess trade-offs, Scale the solution Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the PEDALS approach: Product-driven Engineering Design: define Problem, Estimate scale, Design APIs, Layout data models, Assess trade-offs, Scale the solution Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the PEDALS approach: Product-driven Engineering Design: define Problem, Estimate scale, Design APIs, Layout data models, Assess trade-offs, Scale the solution Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the PEDALS approach: Product-driven Engineering Design: define Problem, Estimate scale, Design APIs, Layout data models, Assess trade-offs, Scale the solution Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the PEDALS approach: Product-driven Engineering Design: define Problem, Estimate scale, Design APIs, Layout data models, Assess trade-offs, Scale the solution Ground your answer in a specific real example from your own experience.