Salesforce·Software Engineer·Onsite - System Design / Architecture·Junior

JuniorRejected

Sep 2026

Summary

Went through a final onsite at Salesforce for a software engineer role and got tripped up on a system design question. Rejected. The LC prep was fine but system design caught me completely flat-footed, which is what I'm trying to fix now.

Questions Asked (1)

Walk through the design of a system (a smaller-scoped system design problem, not a full-scale distributed systems question).

System DesignTechnical Trade-offs

Author's notes

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and requirements of the smaller system, then propose a high-level design with key components and data flow. Dive into one or two critical areas, discussing trade-offs and justifying your choices with respect to scalability, reliability, and maintainability.

Pro tip: Tie your design decisions back to Salesforce's multi-tenant, cloud-based environment—mention how your choices support scalability, security, and tenant isolation, which are core to Salesforce's platform.

1. Clarify Requirements

Ask questions to understand functional and non-functional requirements, such as expected scale, latency, consistency, and any constraints. Confirm the scope to ensure you're solving the right problem.

2. High-Level Design

Sketch the main components (e.g., clients, services, databases, caches) and how they interact. Describe the data flow for core use cases without getting bogged down in details.

3. Deep Dive into Key Components

Pick one or two critical parts (e.g., data storage, API design, scaling strategy) and discuss your approach in detail, including alternatives and trade-offs.

4. Address Trade-offs and Bottlenecks

Explain how your design handles potential issues like high traffic, failures, or data growth. Discuss trade-offs between consistency, availability, and partition tolerance as applicable.

5. Summarize and Iterate

Recap the design, highlighting how it meets requirements. Mention possible future improvements or areas to revisit if constraints change.

Key Points to Mention

Scalability: how the system can handle growth in users or data (e.g., horizontal scaling, sharding).
Reliability and fault tolerance: redundancy, failover, and graceful degradation.
Data modeling and storage choices: SQL vs NoSQL, indexing, caching strategies.
API design and communication: REST vs RPC, synchronous vs asynchronous, idempotency.
Security and multi-tenancy: authentication, authorization, data isolation (especially relevant for Salesforce).
Trade-offs: consistency vs availability, latency vs cost, simplicity vs flexibility.

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