Deliveroo Software Engineer Interview Questions, Process, and Tips

Data structure Algorithm

Q1. System Design Interview Questions
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Q1. Managerial Round, Project related questions, Behavioural questions
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Q1. Design a system where users can claim 6M burgers in 10 minutes
Ans. 
Design a system to allow users to claim 6M burgers in 10 minutes
• Implement a scalable backend system to handle high volume of requests

• Use load balancing to distribute requests evenly across servers

• Set up a queue system to manage incoming requests and process them efficiently

• Implement caching mechanisms to reduce response times

• Consider implementing rate limiting to prevent abuse of the system
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Q2. How do you handle concurrent requests
Ans. 
I handle concurrent requests by implementing thread-safe data structures and using synchronization techniques.
• Use thread-safe data structures like ConcurrentHashMap in Java

• Implement locking mechanisms like synchronized blocks or ReentrantLock

• Utilize thread pools to limit the number of concurrent requests

• Consider using asynchronous programming to handle multiple requests efficiently
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Q1. Tell me about a time you supported a Junior Engineer
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Q2. Monolith vs Microservices
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Monolith is a single, large application while Microservices is a collection of small, independent services.
• Monolith is easier to develop and test as it is a single unit.

• Microservices offer better scalability and flexibility as each service can be developed, deployed, and scaled independently.

• Monolith can lead to dependencies and bottlenecks, while Microservices can be more resilient to failures.

• Microservices allow for ...read more
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One hour round, with 10 mins of MCQ round. Then followed by two coding questions related to arrays and graph.

Q1. System Design HLD
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Q2. Database failure
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Q3. Sharding of databse
Ans. 
Sharding is a technique used to horizontally partition data across multiple databases to improve performance and scalability.
• Sharding helps distribute data across multiple servers to reduce the load on a single server.

• It can improve query performance by allowing parallel processing of queries across multiple shards.

• Common sharding strategies include range-based sharding, hash-based sharding, and composite sharding.

• Exam...read more
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