As a Software Engineer at Fiverr, you will play a critical role in shaping the future of the world’s leading marketplace for freelance services. Fiverr operates at a massive global scale, connecting millions of active buyers and sellers across thousands of digital service categories. This requires a highly sophisticated, low-latency, and resilient technical infrastructure that can handle millions of concurrent transactions, real-time communication, complex search queries, and secure payment processing.

In this role, you will be responsible for building, optimizing, and maintaining the core services that power the Fiverr platform. Your work will directly impact how users discover talent, collaborate on projects, and conduct business globally. Whether you are working on frontend UI components, scaling backend microservices, or implementing cutting-edge AI integrations, you will face complex engineering challenges that require a deep understanding of web technologies, data structures, and system design.

Fiverr values engineers who are not only technically proficient but also highly collaborative and product-minded. You will work closely with cross-functional teams, including product managers, designers, and data scientists, to turn ambitious product visions into stable, production-ready code. The engineering culture is fast-paced and data-driven, demanding a high level of ownership, agility, and a continuous desire to learn and innovate.

To help you prepare effectively, we have categorized representative questions based on real interview experiences at Fiverr. These questions reflect the core technical competencies and problem-solving patterns that the engineering team prioritizes.

Coding & Algorithms

These questions evaluate your core computer science fundamentals, algorithmic efficiency, and ability to write clean, optimized code.

• Implement a Power Set algorithm to generate all possible subsets of a given set of numbers.
• Design and implement an LRU (Least Recently Used) Cache data structure with efficient lookup and insertion times.

Preparing for an interview at Fiverr requires a balanced approach that covers core computer science fundamentals, practical coding skills, and system design principles. You should approach your preparation with a focus on demonstrating clean code, clear communication, and architectural maturity.

To succeed, you must understand the key evaluation criteria that Fiverr interviewers use to assess candidates:

Technical Depth & Fundamentals – Interviewers will evaluate your understanding of core software engineering principles, including data structures, algorithms, time and space complexity, and web protocols. You need to show that you do not just write code that works, but that you understand how and why it works under the hood.

System Design & Scalability – For backend and senior roles, you must demonstrate your ability to design distributed systems that are scalable, reliable, and fault-tolerant. You will be evaluated on your capacity to make pragmatic trade-offs between different database types, caching strategies, and communication protocols.

Practical Execution under Pressure – Whether through written exams, live coding, or AI-assisted tasks, you will be assessed on your ability to deliver working, clean code within tight time constraints. Interviewers look for structured problem-solving, incremental progress, and the ability to debug effectively when things do not work immediately.

Collaborative Mindset & Culture Fit – Fiverr values engineers who communicate their thought processes clearly and receive feedback constructively. You should treat the interviewer as a collaborator, explaining your assumptions, asking clarifying questions, and demonstrating alignment with Fiverr's fast-paced, high-ownership culture.

The interview process at Fiverr is rigorous, comprehensive, and designed to evaluate both your immediate coding capabilities and your long-term architectural potential. Depending on the specific team and location, the process typically follows one of two paths: a multi-stage virtual process or a highly concentrated, single-day "Hiring Day" event.

In the standard process, you will begin with an HR screening call to discuss your background and expectations. This is followed by a series of technical rounds, starting with a live coding and system design session with a team lead or senior engineer. If you pass this initial technical screen, you will move on to deeper architectural interviews and project deep-dives with group managers and directors, culminating in a final executive or HR interview.

Alternatively, Fiverr frequently hosts accelerated "Hiring Days" at their headquarters. This is an intensive, fast-paced format where dozens of candidates complete written exams, live coding sessions, and face-to-face interviews on the same day. Candidates are progressively filtered after each round, and successful applicants can expect to receive a formal job offer by the end of the day.

The visual timeline above outlines the typical progression of the Fiverr interview process, highlighting the transition from initial screening to intensive technical and management rounds. Candidates should use this timeline to pace their preparation, ensuring they allocate sufficient time to practice both live coding and system design before their scheduled interviews. While the exact sequence can vary depending on the team's immediate hiring needs, the high standard of technical evaluation remains consistent across all tracks.

To excel in your Fiverr interviews, you need to understand the specific technical domains you will be tested on and what constitutes a strong performance in each area.

Frontend and UI Engineering

This evaluation area focuses on your ability to build highly performant, accessible, and responsive user interfaces. Fiverr relies heavily on seamless frontend experiences to keep buyers and sellers engaged, making frontend optimization a top priority.

Be ready to go over:

• Vanilla JavaScript – Deep knowledge of asynchronous JS, closure mechanisms, event delegation, and DOM manipulation without relying on external libraries.
• React State Management – Effective use of hooks, context, and state optimization techniques to prevent unnecessary component re-renders.
• CSS Layout & Optimization – Proficiency in CSS Grid, Flexbox, responsive design principles, and strategies to minimize layout shifts (CLS).

Advanced concepts (less common):

• Optimizing web applications for Core Web Vitals and Search Engine Optimization (SEO).
• Implementing robust client-side caching and state synchronization in real-time applications.

Example scenarios:

• "Build a functional real-time chat interface that connects to a mock WebSocket API and handles message rendering efficiently."
• "Implement a custom debounce function to throttle search input requests and explain how it prevents API overload."

Algorithms and Data Structures

This area assesses your core problem-solving capabilities and your ability to write clean, mathematically sound, and computationally efficient code.

Be ready to go over:

• Array and String Manipulation – Solving complex array and string challenges, including sliding window techniques, two-pointer approaches, and backtracking.
• Cache Design (LRU) – Building custom cache structures with $O(1)$ lookup and deletion times using combinations of doubly linked lists and hash maps.
• Mathematical/Probability Puzzles – Applying logical deduction to solve algorithmic riddles and probability-based questions.

Advanced concepts (less common):

• Solving NP-complete backtracking problems and optimizing them using pruning techniques.
• Custom memory allocation and garbage collection simulation in JavaScript.

Example scenarios:

• "Given a list of words, find the shortest unique prefix for each word in the array."
• "Design an LRU cache from scratch and demonstrate how it handles eviction when capacity is reached."

System Design & Architecture

For backend and full-stack positions, this is the most critical round. It tests your ability to translate high-level product requirements into scalable, reliable, and cost-effective technical architectures.

Be ready to go over:

• URL Shortening (TinyURL) – Designing a high-throughput redirection service, focusing on hashing algorithms, database scaling, and caching.
• Real-Time Messaging Protocols – Deciding between WebSockets, Server-Sent Events (SSE), and Long Polling for low-latency chat systems.
• Scalable Database Architectures – Choosing between SQL and NoSQL databases based on consistency, availability, and partition tolerance (CAP Theorem) requirements.

Advanced concepts (less common):

• Designing distributed rate-limiters and token-bucket algorithms for API protection.
• Architecting globally distributed payment gateways with strict transactional consistency (ACID properties).

Example scenarios:

• "Walk me through how you would design an internal chat system for Fiverr that supports message persistence, read receipts, and offline notifications."
• "How would you architect a system to handle sudden traffic spikes during a major global marketing campaign?"

AI-Driven Development

Reflecting modern engineering trends, Fiverr has integrated AI-assisted coding tasks into several of their interview loops, particularly for junior and mid-level roles.

Be ready to go over:

• Prompt Engineering – Crafting precise prompts to generate highly functional, structured backend and frontend code.
• Anthropic/Claude API Integration – Quickly reading API documentation and implementing third-party AI services into a working application.
• Rapid Prototyping – Building, testing, and deploying a complete service within an hour and a half using AI assistance.

Advanced concepts (less common):

• Debugging complex, AI-generated code and identifying hidden edge cases or security vulnerabilities.

Example scenarios:

• "Use Claude to write a backend service for a short URL system, and then explain the security and scaling implications of the generated code."