Type · Scalability
Subito experiences massive traffic spikes during holiday sales. How would you design a system to handle a 10x increase in traffic for the product listing page, ensuring low latency and high availability?
Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in ItalyInterview language: Italian
How to Pass the Subito Software Engineer Interview in 2026
The Subito DNA (TL;DR)
Subito's 'Customer First' principle drives the interview loop, seeking individuals who can enhance the user experience on platforms like Subito Annunci. They grade for clear articulation of how proposed solutions impact key metrics-with-denominators, and the ability to name trade-offs rejected during design.
The Subito Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Subito interview outcomes, avoid these common traps:
- Inefficient frequency counting (e.g., repeated linear scans).
- Failing to discuss the scalability of the proposed solution
- Not discussing schema design or data partitioning.
- Inefficient retrieval of the last N items (e.g., scanning the entire history).
Test Yourself: Real Subito Questions
Three real prompts pulled from our database.
Type · Data Storage
How would you store and query user clickstream data (product views, add-to-carts, purchases) for analytics purposes at Subito? Discuss trade-offs between different storage solutions (e.g., relational DB, NoSQL, data warehouse).
Type · Data Structures
Given a list of user sessions on Subito, where each session contains a list of product IDs viewed, write a function to find the top K most frequently viewed products across all sessions. Assume product IDs are integers.
+ many more questions, signals, and worked examples
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Subito Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 14 questions shown
1
Recruiter Screen
1- 1
Type · Motivation
Why are you interested in working at Subito, and what specifically about our retail platform excites you as a software engineer?
2
Coding Screen
3- 2
Type · Data Structures
Given a list of user sessions on Subito, where each session contains a list of product IDs viewed, write a function to find the top K most frequently viewed products across all sessions. Assume product IDs are integers. - 3
Type · Algorithms
Subito wants to implement a 'recently viewed items' feature. Given a stream of product IDs representing user views, design a data structure that can efficiently add a view and retrieve the last N unique products viewed by a user in chronological order. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · API Design
Design the API for Subito's product recommendation service. Consider endpoints for fetching recommendations based on user history, product similarity, and potentially real-time trends. Discuss data formats, request/response structures, and potential rate limiting. - 5
Type · Scalability
Subito experiences massive traffic spikes during holiday sales. How would you design a system to handle a 10x increase in traffic for the product listing page, ensuring low latency and high availability? - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
4- 6
Type · Algorithms
Implement a function to find the shortest path between two product categories in Subito's product hierarchy, represented as a tree or a directed acyclic graph (DAG). Consider potential optimizations. - 7
Type · Debugging
A critical bug is reported: users are sometimes seeing incorrect pricing on the checkout page. The backend team suspects an issue with a recently deployed microservice handling price calculations. How would you approach debugging this issue systematically? - + 2 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
3- 8
Type · Conflict Resolution
At Subito, we often balance the trade-off between strict data consistency and low-latency user experience. Describe a time when you proposed a technical architecture that prioritized latency, but a peer advocated for stronger consistency. How did you quantify the impact on our user churn metrics to reach a consensus? - 9
Type · Ownership
We recently observed a drop in conversion rates on mobile devices due to slow image loading times. Tell us about a time you noticed an underperforming part of our infrastructure or codebase and took the lead to optimize it. How did you measure the success of your improvement relative to the overall site speed? - + 1 more questions in this round (sign up to unlock)
Unlock all 14 Subito questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Subito
How Subito's DNA translates across functions. Pick your role.
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Practice Subito interviews end-to-end
Subito Mock Interview
Run a live mock interview with our AI interviewer using Subito-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Subito Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Subito interviewers grade on. Reuse them across every behavioral round.
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Subito Interview Prep Hub
The frameworks behind every Subito round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Subito interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Subito interview questions shows.
Subito experiences massive traffic spikes during holiday sales. How would you design a system to handle a 10x increase in traffic for the product listing page, ensuring low latency and high availability?
A strong answer shows: Horizontal scaling strategies (load balancing, auto-scaling).; Effective use of caching (CDN, in-memory caches).; Database read replicas, sharding, or NoSQL solutions.; Asynchronous processing for non-critical tasks..
How would you store and query user clickstream data (product views, add-to-carts, purchases) for analytics purposes at Subito? Discuss trade-offs between different storage solutions (e.g., relational DB, NoSQL, data warehouse).
A strong answer shows: Understanding of different data storage paradigms (OLTP vs. OLAP).; Trade-offs between consistency, availability, and partition tolerance.; Consideration of query performance and data volume.; Potential use of specialized data stores (e.g., time-series, columnar)..
Frequently asked questions
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