Revolut Interview Questions (6+ Questions)
Last Updated: June 8, 2026 • 6 Questions • Real Company Interviews
Prepare for your Revolut interview with our comprehensive collection of 6+ real interview questions and detailed answers. These questions have been curated from actual Revolut technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.
Table of Contents
- Managing High I/O Processes (easy)
- StatefulSet PVC Retention & Reuse (easy) 🔒
- DNS-Based Service Discovery (medium)
- Parsing Comma-Separated Values (medium)
- Employee-Project Join with Aggregation (medium) 🔒
- Happy Number (easy)
Our Revolut interview questions cover a wide range of technical topics and difficulty levels, from entry-level positions to senior roles. Each question includes detailed explanations and answers to help you understand the concepts and prepare effectively for your interview.
💡 Pro Tips for Revolut Interviews
- Practice each question and understand the underlying concepts
- Review Revolut's specific technologies and methodologies
- Prepare follow-up questions and edge cases
- Practice explaining your solutions clearly and concisely
Interview Questions & Answers
1. Managing High I/O Processes
Learn how to identify and manage high I/O consuming processes on a Linux server using command-line tools. This guide covers sorting running processes by disk activity and mitigating disk bottlenecks through throttling, stopping, or rescheduling heavy jobs, improving overall system responsiveness and application performance.
2. StatefulSet PVC Retention & Reuse
Kubernetes StatefulSet Storage Persistence & Re-attachment: app StatefulSet. Validate data durability by simulating a Pod failure and confirming that the replacement replica automatically inherits the existing PersistentVolumeClaim (PVC). Challenge demonstrates the critical decoupling of compute lifecycle from storage lifecycle, ensuring zero data loss and seamless volume re-binding during Pod recreation or node rescheduling.
3. DNS-Based Service Discovery
Kubernetes Headless Service DNS Discovery: discovery-svc Multiple A Records disco. Fix peer discovery failures for discovery-app clustering (3 replicas, app=discovery) in disco namespace. Convert discovery-svc from ClusterIP (single IP) to headless service (clusterIP: None) returning one A record per pod IP via DNS discovery-svc.disco.svc.cluster.local. Perfect for stateful clustering, etcd/consul discovery, service mesh peer awareness, P2P applications, database replication, and distributed system bootstrapping.
4. Parsing Comma-Separated Values
Master string manipulation in PySpark. Learn how to parse comma-separated strings using the split function, convert them into arrays, and use the size function to count the number of elements in each array.
5. Employee-Project Join with Aggregation
Objective
Write an SQL query to list each employee's name along with the total number of projects they are assigned to. Ensure that employees with no project assignments are also included in the result with a project count of zero. The final list should be ordered first by the number of projects...
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6. Happy Number
def is_happy(n: int) -> bool:
visit = set()
while n not in visit:
visit.add(n)
sq_sum = 0
while n > 0:
digit = n % 10
sq_sum += digit * digit
n //= 10
n = sq_sum
if n == 1:
return True
return False
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