Is HireStepX free to use?

Yes. Start with 2 full AI mock interviews, complete with real-time feedback, scores, and detailed performance reports. No credit card required.

How does the AI mock interview work?

Upload your resume, pick your target company and role, and choose from 10 interview types. The AI interviewer asks role-specific questions via voice, listens to your answers, asks follow-up questions, and delivers scored feedback after each session.

What types of interviews can I practice?

10 types: Behavioral, Technical, Strategic, Case Study, Campus Placement, HR Round, Panel, Management, Salary Negotiation, and Government/PSU. Each with 3 difficulty levels and mini or full session options.

Can I practice for specific companies like TCS, Infosys, or Google?

Yes. We support 200+ target companies including Google, Amazon, TCS, Infosys, Flipkart, Razorpay, McKinsey, Deloitte, and more, each with distinct interview patterns.

How is this different from ChatGPT or practicing with friends?

ChatGPT is text-only with no voice, no scoring, no resume integration, and no progress tracking. HireStepX is a purpose-built interview simulator: voice-based, resume-personalized, with detailed analytics.

Is my interview data private and secure?

Yes. Data is encrypted via Supabase with row-level security. Recordings and transcripts are never shared with employers or third parties. Delete everything anytime from Settings.

Does HireStepX work on mobile?

Yes, on any modern browser. For the best experience during mock interviews, use a laptop or desktop with a microphone.

How much does it cost compared to a career coach?

A single coaching session typically costs ₹3,000-10,000. HireStepX is ₹9 per session or ₹39/month for 5 sessions (Sprint Pack) with full AI coaching and analytics, available 24/7.

What is the recruitment process at Uber?

The typical Uber recruitment process has 4 stages: Recruiter screen and coding phone screen → Onsite coding rounds on DSA → System-design round on a geospatial or real-time service → Behavioral and hiring-manager round, then offer.

What are the interview rounds at Uber?

Uber typically conducts 4 interview rounds: Round 1 (45 min): coding phone screen on data structures and algorithms.; Round 2-3 (45 min each): onsite coding rounds.; Round 4 (45-60 min): system-design round on matching, pricing, or tracking.; Round 5 (45 min): behavioral round on ownership and impact..

What framework should I use for Uber system design interviews?

HireStepX recommends the Geo-Index-and-Dispatch framework for this type of interview: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets

Design a system to predict same-day delivery feasibility for a new pincode in tier-3 India.

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

We're seeing UPI failure rates spike at 9pm on weekends. How would you debug, and what's your hypothesis?

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

Walk me through how you'd build idempotency into a payment retry system. What happens if the network drops mid-callback?

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

Design Swiggy Genie's matching algorithm. How does it differ from food-order matching?

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

Walk me through how you'd architect transaction-level fraud detection for 100M daily UPI transactions.

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

How would you build a recommendation engine that suggests bills the user is about to forget?

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

Design a cashback-allocation system that prevents abuse without alienating genuine users.

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

Design a system to detect duplicate documents at web scale. What's your approximation strategy?

To answer this question well, HireStepX recommends the Geo-Index-and-Dispatch approach: Use a geospatial index for proximity search, separate high-write location ingestion from ETA reads, and defend the matching and dispatch trade-offs under latency budgets Ground your answer in a specific real example from your own experience.

What system-design questions does Uber ask?

Design rider-driver matching, surge pricing computed in near real time, and live location tracking with ETAs, all at city scale with heavy write volume.

How do I design Uber's ride matching?

Index driver locations with geohashing or a quadtree for fast proximity search, then run a dispatch step that assigns the best driver while accounting for latency, fairness, and in-flight matches.

How does Uber handle the high write volume of location pings?

Ingest location updates through a streaming pipeline into a spatial index optimised for writes, and serve ETA reads from a separate read-optimised path so the write load never blocks queries.

← All companies·Uber·System Design

Uber System Design Interview Questions 2026

Uber's system-design rounds are built on its own hard problems: match riders to nearby drivers at city scale, compute surge pricing in near real time, and stream live driver locations and ETAs under heavy write load.

Practice with AI voice feedback 12 questions · System Design · 2 sessions free

In 2026 strong candidates reach for geospatial indexing (geohashing or quadtrees) for proximity search, separate the write-heavy location-ping path from ETA reads, and reason about the dispatch and assignment trade-offs. Interviewers push on latency budgets, hotspot cities, and consistency of the matching state. A generic 'store locations in a database and query' answer gets dismantled fast.

About Uber

Uber India (Bengaluru) builds core platform engineering: the real-time matching engine, driver and rider experience, payments, and maps. Engineering culture is heavily influenced by ex-FAANG hires and prioritizes correctness, latency, and reliability.

Products: Uber rideshare (India) · Uber Eats / Eats (select markets) · Uber for Business · Uber Freight
Competitors: Ola · Rapido · BluSmart · Namma Yatri
Scale: Operates in 100+ Indian cities. Millions of trips daily.

Uber recruitment process

01
Recruiter screen and coding phone screen
02
Onsite coding rounds on DSA
03
System-design round on a geospatial or real-time service
04
Behavioral and hiring-manager round, then offer

What to expect in each round

01
Round 1 (45 min)
coding phone screen on data structures and algorithms.
02
Round 2-3 (45 min each)
onsite coding rounds.
03
Round 4 (45-60 min)
system-design round on matching, pricing, or tracking.
04
Round 5 (45 min)
behavioral round on ownership and impact.

System Design questions Uber asked

Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.

01
Hard
Design a system to predict same-day delivery feasibility for a new pincode in tier-3 India.
Practice free →
02
Hard
We're seeing UPI failure rates spike at 9pm on weekends. How would you debug, and what's your hypothesis?
Practice free →
03
Hard
Walk me through how you'd build idempotency into a payment retry system. What happens if the network drops mid-callback?
Practice free →
04
Hard
Design Swiggy Genie's matching algorithm. How does it differ from food-order matching?
Practice free →
05
Hard
Walk me through how you'd architect transaction-level fraud detection for 100M daily UPI transactions.
Practice free →
06
Medium
How would you build a recommendation engine that suggests bills the user is about to forget?
Practice free →
07
Medium
Design a cashback-allocation system that prevents abuse without alienating genuine users.
Practice free →
08
Hard
Design a system to detect duplicate documents at web scale. What's your approximation strategy?
Practice free →
09
Hard
Design Amazon Prime's recommendation engine. How would you handle the cold-start for a new Prime member?
Practice free →
10
Medium
Design a URL shortener like bit.ly. Walk me through database choice and scaling.
Practice free →
11
Hard
Design Instagram's news feed ranking. How do you handle a celebrity who posts 50 times an hour?
Practice free →
12
Hard
Design Amazon's order tracking notification system. Optimise for cost at 100M orders/day.
Practice free →

2 more questions. Sign up to unlock all

Reading won't get you hired

Stop reading, start answering.

The AI asks Uber-style questions, listens to your voice, and scores your answer in two minutes. 2 sessions free, no card.

Start free practice

← All companies·Uber·System Design

Uber System Design Interview Questions 2026

Practice with AI voice feedback 12 questions · System Design · 2 sessions free

About Uber

Products: Uber rideshare (India) · Uber Eats / Eats (select markets) · Uber for Business · Uber Freight
Competitors: Ola · Rapido · BluSmart · Namma Yatri
Scale: Operates in 100+ Indian cities. Millions of trips daily.

Uber recruitment process

01
Recruiter screen and coding phone screen
02
Onsite coding rounds on DSA
03
System-design round on a geospatial or real-time service
04
Behavioral and hiring-manager round, then offer

What to expect in each round

01
Round 1 (45 min)
coding phone screen on data structures and algorithms.
02
Round 2-3 (45 min each)
onsite coding rounds.
03
Round 4 (45-60 min)
system-design round on matching, pricing, or tracking.
04
Round 5 (45 min)
behavioral round on ownership and impact.

System Design questions Uber asked

Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.

01
Hard
Design a system to predict same-day delivery feasibility for a new pincode in tier-3 India.
Practice free →
02
Hard
We're seeing UPI failure rates spike at 9pm on weekends. How would you debug, and what's your hypothesis?
Practice free →
03
Hard
Walk me through how you'd build idempotency into a payment retry system. What happens if the network drops mid-callback?
Practice free →
04
Hard
Design Swiggy Genie's matching algorithm. How does it differ from food-order matching?
Practice free →
05
Hard
Walk me through how you'd architect transaction-level fraud detection for 100M daily UPI transactions.
Practice free →
06
Medium
How would you build a recommendation engine that suggests bills the user is about to forget?
Practice free →
07
Medium
Design a cashback-allocation system that prevents abuse without alienating genuine users.
Practice free →
08
Hard
Design a system to detect duplicate documents at web scale. What's your approximation strategy?
Practice free →
09
Hard
Design Amazon Prime's recommendation engine. How would you handle the cold-start for a new Prime member?
Practice free →
10
Medium
Design a URL shortener like bit.ly. Walk me through database choice and scaling.
Practice free →
11
Hard
Design Instagram's news feed ranking. How do you handle a celebrity who posts 50 times an hour?
Practice free →
12
Hard
Design Amazon's order tracking notification system. Optimise for cost at 100M orders/day.
Practice free →

2 more questions. Sign up to unlock all

Reading won't get you hired

Stop reading, start answering.

The AI asks Uber-style questions, listens to your voice, and scores your answer in two minutes. 2 sessions free, no card.

Start free practice