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This sounds like a gift because you're talking about your own stuff, but I kind of rambled for the first few minutes before finding a thread.
Choose a system you know deeply and can discuss end-to-end, then structure your answer around requirements, high-level architecture, component deep-dives, scaling, and trade-offs. Use a whiteboard or verbal diagram to make the flow clear, and tie every decision back to a specific constraint or goal.
Pro tip: Explicitly state the non-functional requirements (scale, latency, consistency) upfront, because at Salesforce the interviewer cares as much about why you chose a design as the design itself. Also, be honest about what you'd change today—it shows growth and self-awareness.
Briefly describe the system's purpose, users, and key functional and non-functional requirements (e.g., scale, latency, consistency). This anchors the rest of your answer and shows you can scope a problem.
Walk through the major components (e.g., clients, API gateway, services, databases, queues, caches) and how they connect. Use a simple diagram or verbal map to make the structure easy to follow.
Follow a typical request or data item through the system, explaining how it moves between components, where it's transformed, stored, and retrieved. Highlight any asynchronous or event-driven flows.
Describe how the system handles growth (e.g., horizontal scaling, sharding, caching, load balancing) and ensures reliability (e.g., redundancy, failover, monitoring). Mention specific bottlenecks and how you addressed them.
Articulate the key trade-offs you made (e.g., consistency vs. availability, latency vs. cost, build vs. buy) and why. Share what you'd do differently now and what you learned.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying the architecture's goals, constraints, and scale before critiquing. Then systematically evaluate it across key dimensions like scalability, reliability, and maintainability, and propose improvements with clear trade-offs. Frame your answer as a collaborative problem-solving discussion, not a fault-finding mission.
Pro tip: Always tie your critiques to business impact and user experience, and acknowledge what the architecture does well before suggesting changes. This shows you can balance technical rigor with pragmatism and empathy for existing design decisions.
Ask questions to understand the system's purpose, expected scale, SLAs, and constraints. This ensures your analysis is relevant and grounded in real needs.
Acknowledge what works well, then systematically evaluate the architecture against key quality attributes like scalability, availability, consistency, and cost.
Focus on the most critical issues that could cause outages, data loss, or major performance bottlenecks. Avoid getting lost in minor details.
Suggest concrete changes, explaining how they address the problems and what trade-offs they introduce (e.g., complexity, cost, latency).
Recap your key points and invite feedback to ensure alignment and show openness to alternative perspectives.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.