Prepare for your Uber tech interview

System design and algorithm rounds calibrated to Uber’s marketplace-scale, real-time engineering culture.

Socratify AI

The Interview

What Uber is looking for

System Design Interview

Marketplace Systems Design

01Real-Time Dispatch & Matching

02Geospatial Indexing & Routing

03Surge Pricing & Demand Estimation

04Consistency & Partition Tolerance

Coding Interview

Coding & Algorithms

01Graph & Shortest Path Algorithms

02Heap & Priority Queue Patterns

03Interval & Scheduling Problems

04Time & Space Optimization

Behavioral Interview

01Customer Obsession

02Bias for Action

03Collaboration at Scale

04Data-Informed Decisions

Real-time marketplace matching//Geospatial algorithm depth//Supply-demand economics at scale

Practice Library

Uber exercises

Ready to ace your Uber tech interview?

Prepare for your Uber tech interview

System design and algorithm rounds calibrated to Uber’s marketplace-scale, real-time engineering culture.

Socratify AI

The Interview

What Uber is looking for

System Design Interview

Marketplace Systems Design

01Real-Time Dispatch & Matching

02Geospatial Indexing & Routing

03Surge Pricing & Demand Estimation

04Consistency & Partition Tolerance

Coding Interview

Coding & Algorithms

01Graph & Shortest Path Algorithms

02Heap & Priority Queue Patterns

03Interval & Scheduling Problems

04Time & Space Optimization

Behavioral Interview

01Customer Obsession

02Bias for Action

03Collaboration at Scale

04Data-Informed Decisions

Real-time marketplace matching//Geospatial algorithm depth//Supply-demand economics at scale

How It Works

Master Uber Tech Interviews

Marketplace system design, algorithms, and behavioral rounds, scored on Uber’s engineering dimensions. · Click to expand

1Your Tech Goals

System Design

Practitioner

Distributed Systems

Practitioner

2Tech Case Prep

Design Uber's surge pricing system to balance driver supply and rider demand across 100...

CASE INTERVIEWHard

Uber

3Frameworks

Framework

Is the regression in the application service layer?

New code path introducing O(n²) complexity?

Flame graph shows 60% CPU in nested loop (added in PR #4821)

p99 correlated with request payload size — O(n²) signature

Thread pool exhaustion or blocking I/O?

Thread pool utilization: 94% (up from 41% pre-deploy)

Synchronous Redis call added to critical path — no timeout set

Is the regression in the data access layer?

Database query plan changed (missing index, stats stale)?

EXPLAIN shows full table scan on orders (87M rows) — index dropped in migration

DB CPU: 88% vs 32% baseline; connection pool wait: +210ms median

Cache hit rate degraded after deploy?

Redis hit rate: 61% (was 94%) — key schema changed, cold start in progress

Is the regression caused by infrastructure changes?

Network latency or instance type change?

Deploy rolled new instance type: c5.2xlarge → c5a.2xlarge (AMD); 12% lower network bandwidth

Cross-AZ traffic increased 40% — RDS replica not updated to same AZ

Config drift — timeout or concurrency limits changed?

Max concurrent DB connections reduced from 200 → 50 in new env config

4Feedback

System Design

Distinctive

Scalability & Reliability

Strong

Algorithms & Complexity

Meeting Bar

Technical Communication

Strong

Repeat

Practice Library

Uber exercises

Design Uber’s surge pricing system to balance driver supply and rider demand across 100...

CASE INTERVIEWHard

Marketplace / Mobility · System DesignUber

Design a geospatial ride-matching engine that assigns the nearest available driver to a...

LEARNHard

Marketplace / Mobility · System DesignUber

Given a list of ride pickup/dropoff intervals and driver counts, find the minimum...

LEARNMedium

Marketplace / Mobility · AlgorithmsUber

Describe a time you shipped a feature under tight constraints that involved a technical...

BEHAVIORALMedium

Behavioral · Bias for ActionUber

Tell me about a time you used data to change the direction of a project or convince...

BEHAVIORALMedium

Behavioral · Data-Informed DecisionsUber