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 5 stages: Recruiter screen: role and compensation alignment, 30 min → Coding screen: 1 to 2 DSA problems, typically graphs or arrays → On-site or virtual loop: 2 DSA rounds + 1 system design round → Hiring Manager round: behavioral, ownership, and culture fit → Offer, background check, and ESOP discussion.

What are the interview rounds at Uber?

Uber typically conducts 4 interview rounds: Coding Screen (45 min): 1 to 2 medium-hard DSA problems, often graph-based. Uber favours problems that reflect real product scenarios like shortest path or scheduling.; DSA Rounds x2 (45 min each): Graphs, heaps, greedy, and dynamic programming. Interviewers ask you to articulate why your approach works before you start coding.; System Design (60 to 75 min): Design a real-time system at Uber scale. Common prompts: design the driver location service, design surge pricing, design the ride-matching system. Start with the data model and consistency requirements before jumping to components.; Hiring Manager Round (45 min): Ownership stories, cross-team collaboration, and why Uber. Prepare examples from your last two roles with measurable impact..

What framework should I use for Uber system design interviews?

HireStepX recommends the Real-time geo-scale design framework for this type of interview: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes.

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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. 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 Real-time geo-scale design approach: Start with geospatial data model, then consistency requirements, then pub-sub vs polling, then horizontal scaling strategy, then failure modes. Ground your answer in a specific real example from your own experience.

What system design topics come up in Uber SDE interviews?

Ride matching at scale, real-time driver location tracking, surge pricing calculation, geospatial indexing (H3/quadtrees), and distributed rate limiting. Expect questions on consistency vs availability trade-offs explicitly.

How many rounds does Uber SDE interview have in India?

Typically 4 to 5 rounds: a coding screen, 2 DSA rounds, 1 system design round, and a hiring manager behavioral round. Senior roles may add a second design round.

What DSA topics appear in Uber SDE interviews?

Graphs (BFS, DFS, shortest path), greedy algorithms, heaps and priority queues, and interval problems. Graph questions appear most frequently given Uber's routing and matching domain.

← All companies·Uber·System Design

Uber Software Engineer Interview Questions India 2026

Uber's SDE interview loop in India runs 4 to 5 rounds and is known for system design questions rooted in real Uber infrastructure: ride matching, surge pricing, geospatial queries, and real-time driver location tracking at millions of concurrent users.

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

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: role and compensation alignment, 30 min
02
Coding screen: 1 to 2 DSA problems, typically graphs or arrays
03
On-site or virtual loop: 2 DSA rounds + 1 system design round
04
Hiring Manager round: behavioral, ownership, and culture fit
05
Offer, background check, and ESOP discussion

What to expect in each round

01
Coding Screen (45 min)
1 to 2 medium-hard DSA problems, often graph-based. Uber favours problems that reflect real product scenarios like shortest path or scheduling.
02
DSA Rounds x2 (45 min each)
Graphs, heaps, greedy, and dynamic programming. Interviewers ask you to articulate why your approach works before you start coding.
03
System Design (60 to 75 min)
Design a real-time system at Uber scale. Common prompts: design the driver location service, design surge pricing, design the ride-matching system. Start with the data model and consistency requirements before jumping to components.
04
Hiring Manager Round (45 min)
Ownership stories, cross-team collaboration, and why Uber. Prepare examples from your last two roles with measurable 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 →

7 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

Uber Software Engineer Interview Questions India 2026

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