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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.

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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 Hasura?

The typical Hasura recruitment process has 4 stages: Recruiter screen: background, team fit (engine vs platform), and language depth → Technical screen: DSA or a language-specific problem (Haskell/Go/Python by team) → System design or engine deep-dive: GraphQL, subscriptions, or query planning → Behavioral and values round: open-source mindset and developer empathy.

What are the interview rounds at Hasura?

Hasura typically conducts 4 interview rounds: Recruiter Screen (30 min): Background, which team fits (engine vs platform vs cloud), and your language strengths.; Technical Screen (60 min): A coding or language-specific problem. Engine roles probe functional programming; platform roles test Go or Python plus DSA.; System Design / Engine Deep-Dive (60 min): Design GraphQL API generation, real-time subscriptions, a permission layer, or query planning across database connectors.; Behavioral Round (45 min): Open-source mindset, developer empathy, and ownership. Prepare examples of shipping developer-facing tooling..

What framework should I use for Hasura system design interviews?

HireStepX recommends the API-generation design framework for this type of interview: Schema introspection, GraphQL resolver mapping, permission layer, subscription fan-out, query cost limits.

Do I need to know Haskell to interview at Hasura?

Only for the GraphQL engine team, which is one of the rare production Haskell shops in India. Platform, cloud, and AI teams use Go and Python, so you can interview strongly there without Haskell. Functional-programming intuition still helps in any round.

What system design topics come up in Hasura interviews?

Questions map to their product: generating a GraphQL API from a database schema, real-time WebSocket subscriptions at scale, row and column level permissions, query planning across Postgres and MySQL connectors, and query-cost limits to prevent abuse.

How does Hasura's open-source culture affect the interview?

Hasura has 30,000+ GitHub stars and a strong open-source ethos, so contributions and public code carry weight. Interviewers value candidates who reason about developer experience, API ergonomics, and backward compatibility for a widely used tool.

← All companies·Hasura·System Design

Hasura Software Engineer Interview Questions India 2026

Hasura is a Bengaluru YC-backed startup whose GraphQL engine auto-generates instant APIs on databases, so the interview goes deeper on fundamentals than most product companies.

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

About Hasura

Hasura is a Bengaluru YC-backed GraphQL engine startup that auto-generates instant APIs on databases, enabling developers to build applications without writing backend code. Open-source core.

Products: Hasura GraphQL Engine (open-source) · Hasura Cloud (managed) · Hasura DDN (Data Delivery Network) · Hasura Enterprise (on-prem) · Hasura AI (LLM-to-SQL)
Competitors: PostgREST · Prisma · Supabase · AWS AppSync
Scale: ~200 employees. Bengaluru HQ. Raised $100M+. 30,000+ GitHub stars. Used by Airtel, Tata, Flipkart internally.

Hasura recruitment process

01
Recruiter screen: background, team fit (engine vs platform), and language depth
02
Technical screen: DSA or a language-specific problem (Haskell/Go/Python by team)
03
System design or engine deep-dive: GraphQL, subscriptions, or query planning
04
Behavioral and values round: open-source mindset and developer empathy

What to expect in each round

01
Recruiter Screen (30 min)
Background, which team fits (engine vs platform vs cloud), and your language strengths.
02
Technical Screen (60 min)
A coding or language-specific problem. Engine roles probe functional programming; platform roles test Go or Python plus DSA.
03
System Design / Engine Deep-Dive (60 min)
Design GraphQL API generation, real-time subscriptions, a permission layer, or query planning across database connectors.
04
Behavioral Round (45 min)
Open-source mindset, developer empathy, and ownership. Prepare examples of shipping developer-facing tooling.

System Design questions Hasura 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?
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04
Hard
Design Swiggy Genie's matching algorithm. How does it differ from food-order matching?
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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?
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07
Medium
Design a cashback-allocation system that prevents abuse without alienating genuine users.
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08
Hard
Design a system to detect duplicate documents at web scale. What's your approximation strategy?
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09
Hard
Design Amazon Prime's recommendation engine. How would you handle the cold-start for a new Prime member?
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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 →

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Answer framework

API-generation design

Schema introspection, GraphQL resolver mapping, permission layer, subscription fan-out, query cost limits.

Interview rounds4

DifficultyHard

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