Grab, headquartered in Singapore, runs a super-app across Southeast Asia for rides, food and grocery delivery, payments and financial services. Its software engineering loop is known for leaning on data structures and algorithms: candidates commonly report a timed online assessment followed by live coding rounds before design and manager conversations. This page covers what Grab builds and who it hires, the process candidates commonly report, the technical depth the teams care about, representative problem types, what interviewers score, and a three-week prep plan.
What Grab builds and who it hires
Grab's engineering blog is detailed. Its Coban team wrote in 2020 about an event sourcing and stream processing platform in Go, running on Kubernetes on AWS with Kafka as the event log and a metastore backed by ScyllaDB, that handled over 300 billion events a week. Go is described as the paved road for back-end services, supported by Grab-Kit, an internal framework for Go microservices, and Grab has also written about rewriting a high-traffic service in Rust to cut its running cost. Teams span mobility, deliveries, payments, maps and marketplace systems.
- Back-end engineers: rides, deliveries, payments and marketplace services, mostly in Go.
- Mobile engineers: the passenger, driver and merchant apps.
- Data and machine learning engineers: pricing, ETA, fraud and recommendations.
- Platform engineers: streaming, Kafka, Kubernetes and maps infrastructure.
What the process tends to look like
| Stage | What happens | How to prepare |
|---|---|---|
| Recruiter call | Role, team, level and timeline | Know the product and the team's area |
| Technical screen | A timed online assessment, most often reported on Codility with about three algorithm problems; some candidates mention HackerRank | Practical coding in your interview language, explained aloud |
| Live coding | One or two 45 to 60 minute rounds of LeetCode-style problems, sometimes with a product twist such as drivers, orders or locations | Medium and hard problems under time, with complexity stated aloud |
| Final loop | Two technical rounds of about an hour each on DSA and system design, then a hiring manager or engineering manager conversation | One design in the company's domain and two strong behavioral stories |
Processes differ by team, level and office and change over time, so treat this as the common shape candidates report and confirm the specifics with your recruiter.
DSA first, then super-app design
The online assessment decides a lot. Candidates describe the assessment as the main filter, with reports ranging from fairly easy to medium-hard. Practise full problems in about 25 minutes each, including writing your own test cases, because hidden tests check edge cases.
Algorithms with a product twist. Live rounds often wrap a standard pattern in Grab's domain: nearest drivers becomes a heap or spatial index problem, surge zones become grid problems, and order batching becomes intervals or greedy scheduling.
Event-driven design. Design rounds suit Grab's architecture: event streams, consumers that scale with load, deduplication and replay. Be ready to explain how a booking moves through services without being lost or processed twice.
Location and time. Ride-hailing problems depend on geography. Revise geohashing or grid partitioning, and how you would estimate arrival times and update them as drivers move.
Representative problem types
These are the kinds of problems candidates describe, not a leaked question list. Practice the category, not the exact question.
- Find the k nearest available drivers to a passenger.
- Match passengers to drivers in a batch to minimise total wait.
- Merge overlapping time windows for delivery slots.
- Design a ride-booking flow from request to payment.
- Design a consumer that processes booking events exactly once in effect.
- Compute surge levels across grid cells from recent demand.
- Medium and hard graph, heap, sliding-window and dynamic-programming problems.
What interviewers score
- Working code: a solution that runs, handles edge cases and is readable by the next engineer.
- Practical judgment: the trade-offs you name and the simplest design that meets the requirement.
- Product sense: understanding who the user is and what failure looks like for them.
- Ownership: examples where you shipped, measured and fixed things yourself.
The behavioral side
Technical rounds decide most outcomes, but every Grab loop also asks about how you work. Prepare a short story for each of these, with a result and what you learned:
- Something you shipped end to end. Cover the user problem, your decisions, what you measured and what you would change.
- A disagreement with a teammate. Show how you made the decision on evidence and kept the relationship.
- Why this company? Connect its product and engineering problems to the work you want to do next.
Structures and sample answers for the common questions are in our software engineer behavioral answers guide.
A three-week prep plan
- Week 1: practical coding: build small features against an API, parse and transform data, and write tests, in the language you will interview in.
- Week 2: system design for the company's domain, plus two behavioral stories about shipping and fixing something under pressure.
- Week 3: timed mixed problems, a mock interview every other day, and research into the product and its engineering blog.
For practice lists, use LeetCode company-tagged questions; compare the European style of Booking.com and Spotify; and for design rounds, read system design building blocks.
Where CoPilot Interview fits
Most of a Grab loop is spoken: you explain an approach, defend a trade-off and talk through your past work. CoPilot Interview is an AI interview assistant whose free AI mock interview builds technical and behavioral questions from your résumé and the job description, reads them aloud and scores each spoken answer out of ten, so you can rehearse the explanation as well as the code. The free plan gives 15 minutes a day of live help in sessions of up to 15 minutes, with AI mock interviews included. Online assessments and many coding rounds forbid outside help, so practice beforehand and follow your employer's rules on the day.
Disclosure: CoPilot Interview is our product, so weigh what we say about it accordingly.
Frequently asked questions
What programming language should I use in a Grab interview?
Use your strongest language for the assessment and live rounds; Go is common in Grab's back end, but most candidates report a free choice of mainstream languages.
Does Grab send an online assessment?
Yes, most candidates report one, usually on Codility with about three problems, before live interviews. Experienced hires are sometimes routed differently, so confirm with your recruiter.
How hard is the Grab online assessment?
Reports vary from fairly easy to medium-hard, and some candidates say they did not pass it. Treat it as a medium-level LeetCode test under time pressure: aim to finish every problem with tests for empty, single-element and large inputs, since partial credit often depends on hidden test cases.
How should I prepare for Grab coding questions?
Practice practical problems under time limits, build small features against an API in your interview language, and prepare one system design in Grab's domain. Explain every solution out loud, because follow-up questions about trade-offs matter as much as the first answer.
Can I use AI tools in a Grab interview?
Only if the instructions you receive say so. Online assessments and live coding rounds generally forbid outside help, and some companies now state their AI policy in the invitation. Use AI to practice beforehand, and follow your employer's rules.
Practice this interview before the real one
The AI mock interview builds questions from your resume and the job description, reads them aloud and scores each spoken answer out of 10. Included on the free plan.
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