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

Senior

Jul 2026

Summary

System design round at Oracle for a software engineer role. One big open-ended question that basically ate the whole session. Felt like a lot to cover in the time given.

Questions Asked (1)

Walk through the system design of a recent project you owned. Cover functional and non-functional requirements, high-level architecture including services, data stores, and messaging, and explain how data flows through the system. Also discuss scaling strategies, consistency vs availability trade-offs, schema decisions, performance bottlenecks, failure handling, observability, and why you made the key design choices you did.

System DesignTechnical Trade-offsData Modeling

Author's notes

This was basically the whole interview in one prompt.

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AI HintsAI Generated

Suggested Approach

Choose a project you deeply understand and structure your answer around requirements, architecture, data flow, and trade-offs. Use a whiteboard-style narrative to walk through the system, focusing on why you made specific decisions and how you addressed non-functional aspects like scalability and reliability.

Pro tip: Emphasize the trade-offs you considered and the alternatives you rejected, showing that you understand the implications of your choices. Also, tie your decisions to business impact and user experience to demonstrate product thinking.

1. Clarify Requirements

Start by outlining the functional and non-functional requirements of the project, including scale, latency, and consistency needs. This sets the context for your design decisions.

2. High-Level Architecture

Describe the major components: services, data stores, messaging systems, and how they interact. Use a simple diagram if possible to illustrate the architecture.

3. Data Flow and Storage

Explain how data moves through the system from ingestion to storage to consumption. Discuss schema design, data models, and any partitioning or indexing strategies.

4. Scaling and Trade-offs

Detail how the system scales (horizontal vs vertical), and discuss consistency vs availability trade-offs (e.g., CAP theorem) and how you handled them.

5. Reliability and Observability

Cover failure handling (retries, circuit breakers, fallbacks), monitoring, logging, and alerting. Explain how you ensured the system is observable and resilient.

Key Points to Mention

Functional and non-functional requirements (e.g., scalability, latency, consistency)
High-level architecture: microservices, databases, message queues, APIs
Data flow: ingestion, processing, storage, and retrieval
Scaling strategies: sharding, replication, caching, load balancing
Consistency vs availability trade-offs and how you resolved them
Failure handling: retries, circuit breakers, idempotency, graceful degradation
Observability: metrics, logging, tracing, alerting
Key design choices and why you made them (e.g., technology selection, schema design)

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