Deliveroo Software Engineer Interview Questions, Process, and Tips

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
Answered by AI
Add your answer
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
Answered by AI
Add your answer

Q1. Tell me about a time you supported a Junior Engineer
Add your answer
Q2. Monolith vs Microservices
Ans. 
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
Answered by AI
Add your answer

Data structure Algorithm

Q1. System Design Interview Questions
Add your answer

Q1. Managerial Round, Project related questions, Behavioural questions
Add your answer

One hour round, with 10 mins of MCQ round. Then followed by two coding questions related to arrays and graph.

Q1. System Design HLD
Add your answer
Q2. Database failure
Add your answer
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
Answered by AI
Add your answer