System Design Interview for Backend Software Engineers

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What you'll learn

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Use a repeatable framework to turn ambiguous system design prompts into clear Requirements

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, estimates, and priorities.
Design and explain APIs, data models, traffic flows, and high-level architectures for scalable backend systems.
Evaluate trade-offs involving performance, reliability, security, consistency, and operational complexity.
Apply rate limiting, consistent hashing, WebSockets, search autocomplete, authentication, TLS, and database selection.
Work through complete Twitter and payment-system case studies using an interview-ready structure.
Communicate decisions, identify bottlenecks, and defend an architecture confidently during a system design interview.
Requirements

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At least one year of backend or full-stack development experience.
Basic familiarity with HTTP APIs and relational or NoSQL databases.
No prior system design interview experience is required.
Description

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This course contains the use of artificial intelligence.
System design interviews are rarely difficult because you know nothing about backend technology. They are difficult because you must turn an ambiguous prompt into a structured conversation, make decisions with incomplete information, and explain why your architecture fits the problem.
This focused course gives you a repeatable process for moving from a blank whiteboard to a clear, defensible system design. In about four hours, you will learn how to clarify scope, identify functional and non-functional Requirements

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, make back-of-the-envelope estimates, define API and data contracts, sketch a high-level architecture, investigate bottlenecks, and discuss resilience.
What you will learn
• Structure a system design interview from the first question to the final trade-off.
• Design and explain APIs, data models, traffic flows, and scalable backend architectures.
• Evaluate performance, reliability, security, consistency, and operational complexity.
• Recognize bottlenecks and choose practical techniques for handling scale and failure.
The course also connects backend topics that are often studied separately. You will see how REST API design, HTTP performance, TLS, authentication, database models, rate limiting, consistent hashing, WebSockets, and search autocomplete influence architectural decisions.
You will then apply the process to complete Twitter and payment-system case studies. A modern RAG system at ten million documents shows how the same reasoning extends to newer architectures.
Focused rather than encyclopedic
The lessons are short, visual, and vendor-neutral. The goal is not to memorize dozens of diagrams or watch a twenty-hour catalog of technologies. The goal is to understand the problem, compare realistic options, make trade-offs visible, and communicate your decisions with confidence.
This course is designed primarily for mid-level backend engineers preparing for system design interviews or senior engineering roles. It is also useful for experienced developers who understand individual technologies but want a stronger end-to-end architecture process.
You should already be familiar with basic programming, HTTP APIs, and databases. No previous system design interview experience is required.
Who this course is for

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Mid-level backend engineers preparing for system design interviews or senior engineering roles.
Experienced developers who know individual backend technologies but want a repeatable architecture process.
Database-focused developers expanding from PostgreSQL or MySQL into end-to-end backend system design.
Homepage

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