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Rakuten·Software Engineer·Onsite - System Design / Architecture·Senior

Senior
Jun 2026

Summary

Rakuten SWE interview with a system design question on microservices. Pretty straightforward prompt but there's a lot of ground to cover if you let yourself go down every rabbit hole.

Questions Asked (1)

Q1

Design a microservices architecture using Java Spring Boot.

System DesignTechnical Trade-offsAPI & Integrations
Author's notes

I started with service decomposition and drew out a rough domain boundary diagram in my head, then talked through inter-service communication.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the business domain and key requirements (e.g., scalability, latency, consistency) before diving into the design. Then propose a high-level microservices architecture using Spring Boot, highlighting service decomposition, communication patterns, and data management. Finally, discuss trade-offs and how you would address cross-cutting concerns like security, monitoring, and deployment.

Pro tip: Emphasize that microservices are not a silver bullet; show maturity by discussing when a monolith might be preferable and how you would evolve the architecture incrementally. Also, mention specific Spring Cloud components (e.g., Eureka, Hystrix, Gateway) to demonstrate hands-on experience.

1. Clarify Requirements and Scope

Ask questions to understand the domain, expected load, consistency needs, and team structure. This ensures your design is tailored to the problem rather than generic.

2. Identify Services and Boundaries

Decompose the system into loosely coupled services based on business capabilities (e.g., user, order, inventory). Use domain-driven design to define bounded contexts.

3. Design Communication and Data Management

Choose synchronous (REST, gRPC) or asynchronous (messaging) communication. Decide on data consistency patterns (e.g., Saga, CQRS) and database per service.

4. Address Cross-Cutting Concerns

Incorporate service discovery, API gateway, configuration management, security, and observability using Spring Cloud and related tools.

5. Discuss Trade-offs and Evolution

Acknowledge challenges like distributed transactions, latency, and operational complexity. Explain how you would monitor, deploy (e.g., containers, Kubernetes), and evolve the architecture.

Key Points to Mention

  • Service decomposition strategies (e.g., by business capability, subdomain)
  • Spring Cloud components: Eureka (service discovery), Ribbon (client-side load balancing), Hystrix (circuit breaker), Zuul/Spring Cloud Gateway (API gateway)
  • Data management patterns: Database per service, Saga pattern for distributed transactions, CQRS for read/write separation
  • Communication: RESTful APIs, messaging with RabbitMQ/Kafka, and synchronous vs asynchronous trade-offs
  • Observability: Distributed tracing (Sleuth + Zipkin), logging (ELK), monitoring (Micrometer + Prometheus)
  • Deployment and DevOps: Containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and configuration management (Spring Cloud Config)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.