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Backend Software Engineer Interview Questions

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15,493 backend software engineer interview questions shared by candidates

The values interview questions were all provided beforehand by the internal recruiter, to allow the candidate to prepare answers in advance for each point. The technical interview tasks were also provided beforehand, for the candidate to prepare for, and to allow the candidate to practice both parts if they so desired. The first technical interview task was to domain model for a situation. The second technical interview task was to write the backend ruby code for a different requirement.
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Software Engineer - Backend (Ruby)

Interviewed at Cleo (United Kingdom)

3.4★
Nov 2, 2023

The values interview questions were all provided beforehand by the internal recruiter, to allow the candidate to prepare answers in advance for each point. The technical interview tasks were also provided beforehand, for the candidate to prepare for, and to allow the candidate to practice both parts if they so desired. The first technical interview task was to domain model for a situation. The second technical interview task was to write the backend ruby code for a different requirement.

Technical Screening: 1. JVM - Working and Heap 2. Datastructures - Arrays, HashTable, Stack, Queues 3. Time and Space complexity 4. Process and thread - difference and relation 5. Deadlock and concurrency 6. SOLID principles 7. Composition vs Inheritance - Relationship and when to use what 8. CICD - Process 9. Deployment Strategies 10. Minimizing bugs in production 11. Observability and logging - basics like what metrics to check etc. 12. Difference, advantages and disadvantages of Monolith and microservice archs 13. Avoiding cascading failures - Circuit breaker 14. Domain Driven Design 15. Sql vs NoSql - their advantages and disadvantage, when to use what 16. ACID 17. CAP theorem 18. Database scalability - vertical and horizontal scaling
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Backend Developer

Interviewed at Glovo

3.4★
May 13, 2020

Technical Screening: 1. JVM - Working and Heap 2. Datastructures - Arrays, HashTable, Stack, Queues 3. Time and Space complexity 4. Process and thread - difference and relation 5. Deadlock and concurrency 6. SOLID principles 7. Composition vs Inheritance - Relationship and when to use what 8. CICD - Process 9. Deployment Strategies 10. Minimizing bugs in production 11. Observability and logging - basics like what metrics to check etc. 12. Difference, advantages and disadvantages of Monolith and microservice archs 13. Avoiding cascading failures - Circuit breaker 14. Domain Driven Design 15. Sql vs NoSql - their advantages and disadvantage, when to use what 16. ACID 17. CAP theorem 18. Database scalability - vertical and horizontal scaling

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