System Design Interview Questions

Practice 1,166 real System Design interview questions for 2026. Covers open-ended architecture problems from actual interviews with detailed solutions; System Design interview questions you can use for interview preparation at every seniority level, from mid-level backend roles to staff/infra interviews. System design rounds test how you scope problems, choose APIs and data models, size and shard storage, reason about latency, consistency, fault tolerance and operational costs, and trade off complexity vs. reliability. Companies that weight this category heavily include Meta, Google, and OpenAI, with Amazon and Rippling also asking system-style problems on many teams. Expect System Design to appear mid-to-late in an onsite loop as a 45–90 minute conversational whiteboard or collaborative doc exercise; interviewers score structure, technical depth, trade-off thinking, and communication. To prepare, practice a representative set of large-scale patterns, rehearse back-of-envelope scaling math, and run mock design interviews that force you to justify trade-offs under time pressure.

1.2k Questions 244 Companies08.05.2026
Showing 6 results
Role
DoorDash logo
DoorDash
Hard
Software Engineer

Design limited-time donation platform

Design limited-time donation platform System Design: Donations Platform for a Three-Day Global Fundraising Campaign Context You are to design an inter...

System Design
9
0
67 people solved
Aug 9, 2025
TikTok logo
TikTok
Hard
Software Engineer

Explain multithreading and locks

Explain multithreading and locks Multithreading, Locks, Concurrency Hazards, and a Bounded Queue Design Context: Technical screen for a software engin...

System Design
6
0
46 people solved
Aug 8, 2025
Coinbase logo
Coinbase
Hard
Software Engineer

Design image upload end-to-end

Design image upload end-to-end System Design: End-to-End Image Upload Pipeline Context Design an end-to-end system that handles user picture uploads f...

System Design
6
0
68 people solved
Aug 7, 2025
Salesforce logo
Salesforce
Hard
Software Engineer

Compare cloud compute; design Kubernetes security and CI/CD

Compare cloud compute; design Kubernetes security and CI/CD Cloud Compute Models, Testing Strategies, Kubernetes Deep Dive, Security, and CI/CD to GKE...

System Design
2
0
50 people solved
Jul 31, 2025
Fidelity logo
Fidelity
Medium
Software Engineer

Explain using MapReduce

Explain using MapReduce Using the MapReduce Programming Model to Process Large Datasets You are asked to explain how the MapReduce programming model p...

System Design
5
0
51 people solved
Jul 31, 2025
Nash AI logo
Nash AI
Medium
Software Engineer

Design OOD for probabilistic Minesweeper

Design OOD for probabilistic Minesweeper Object-Oriented Design: Minesweeper with Per-Cell Mine Probabilities Context Design an object-oriented Minesw...

System Design
6
0
46 people solved
Jul 26, 2025

Frequently Asked Questions

How difficult are system design interview questions compared with other technical rounds?
System design interview questions are among the most open-ended and evaluative rounds, typically harder in assessment style than a single coding problem because they judge breadth, judgment, and tradeoff reasoning rather than only correctness. For mid-level roles you’ll be expected to scope a sensible end-to-end design and justify choices; senior and staff candidates must show capacity planning, failure-mode analysis, and operational tradeoffs. Companies that weight system design heavily, such as Meta, Google, Amazon, and OpenAI, expect crisp tradeoff language and pragmatic constraints. Success requires structured thinking, concrete numbers, and clear prioritization under time pressure.
Where in a typical interview loop does system design appear and how long are those rounds?
System design usually appears during the onsite or panel stage of a technical loop, most often as a dedicated 45–60 minute session; for senior candidates it can also show up in phone screens or as multiple rounds including a design-to-build follow-up. At Google, Meta, Amazon and OpenAI you can expect one or two design-focused interviews inside a multi-hour loop that also contains coding and behavioral rounds. Interviewers look for requirement framing in the first 5–10 minutes, high-level architecture in the next 25–35 minutes, and targeted deep dives and tradeoffs in the final 5–15 minutes.
How long should I prepare for system design interviews to be competitive?
Preparation time depends on level: mid-level candidates typically need four to eight weeks of focused work to internalize frameworks and practice 10–15 canonical designs; senior and staff candidates commonly prepare three to four months to deepen distributed systems, reliability patterns, and operational experience. Aim for weekly deliberate practice that mixes mock interviews, whiteboard runs, and written designs, with at least a handful of timed, full-length mock sessions. If you’re targeting companies like OpenAI or Meta where ML and scale-specific design are common, include targeted practice on model-serving and data pipelines.
What key subtopics should I master for system design interviews in 2026?
Master the end-to-end flow: requirement elicitation, API design, data model, capacity planning and scaling, storage choices, caching, load balancing, partitioning and consistency tradeoffs, and reliability/operational concerns such as monitoring and SLOs. For AI-focused roles at OpenAI and Google, add model serving, feature stores, model metadata, and evaluation pipelines. For Amazon-style questions emphasize cost, availability, and customer impact; for enterprise SaaS companies like Rippling, include multi-tenant isolation, RBAC, compliance, and auditability. Be fluent with concrete numbers, failure modes, and caching and database tradeoffs.
What are the standout tips and common pitfalls to avoid in system design interviews?
Begin by clarifying scope and constraints, then propose a simple end-to-end design before digging into optimizations; interviewers reward sensible scoping and justified tradeoffs more than encyclopedic feature coverage. Use capacity estimates and latency/bandwidth numbers to make design decisions concrete. Avoid common pitfalls: over-designing irrelevant features, skipping failure modes and monitoring, being vague about APIs or data models, and saying “throw a queue at it” without explaining why. For security- or compliance-sensitive domains, explicitly address privacy and audits. Close by summarizing tradeoffs and next steps to show product and operational awareness.

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