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Explain your project system design

Last updated: Mar 29, 2026

Quick Overview

This question evaluates system design and architecture competencies, including defining functional and non-functional requirements, high-level service and data architecture, data modeling, scalability, resilience, observability, and operational validation.

  • hard
  • Oracle
  • System Design
  • Software Engineer

Explain your project system design

Company: Oracle

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Onsite

Walk through the system design of a recent project you owned. State functional and non-functional requirements, sketch the high-level architecture (services, data stores, messaging), and explain data flows. Discuss scaling strategies, consistency/availability trade-offs, schema choices, performance bottlenecks, failure handling, and observability. Justify key design decisions and alternatives considered.

Quick Answer: This question evaluates system design and architecture competencies, including defining functional and non-functional requirements, high-level service and data architecture, data modeling, scalability, resilience, observability, and operational validation.

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Oracle logo
Oracle
Aug 7, 2025, 12:00 AM
Software Engineer
Onsite
System Design
1
0

System Design Walkthrough: Project You Owned

Context: In an onsite system design interview for a Software Engineer role, you are asked to walk through a recent project you owned end-to-end. If you cannot share proprietary details, use a representative, sanitized example.

Your walkthrough should cover:

  1. Functional requirements
  2. Non-functional requirements (SLOs, latency, durability, security, cost)
  3. High-level architecture (services, data stores, messaging)
  4. Data flows (ingest, process, store, query)
  5. Scaling strategies and capacity planning
  6. Consistency vs. availability trade-offs (and why)
  7. Schema/data modeling choices
  8. Performance bottlenecks and optimizations
  9. Failure handling and resilience
  10. Observability, SLOs, and operations
  11. Key design decisions and alternatives considered (and trade-offs)

Be explicit about assumptions, constraints, and how you validated the design (load tests, chaos, data correctness).

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