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

The engine team is one of very few production Haskell shops in India: expect functional-programming depth if you apply there, while platform teams lean Go and Python. System design questions center on their real domain: turning a SQL schema into a GraphQL API, real-time WebSocket subscriptions, permission and authorization layers, and query planning across Postgres, MySQL, and MongoDB connectors.

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?
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

Hasura system design interview FAQ

01What 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.

02What 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..

03What 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.

04Design a system to predict same-day delivery feasibility for a new pincode in tier-3 India.

To answer this question well, HireStepX recommends the API-generation design approach: Schema introspection, GraphQL resolver mapping, permission layer, subscription fan-out, query cost limits. Ground your answer in a specific real example from your own experience.

05We're seeing UPI failure rates spike at 9pm on weekends. How would you debug, and what's your hypothesis?

06Walk me through how you'd build idempotency into a payment retry system. What happens if the network drops mid-callback?

07Design Swiggy Genie's matching algorithm. How does it differ from food-order matching?

08Walk me through how you'd architect transaction-level fraud detection for 100M daily UPI transactions.

Reading won't get you hired

Stop reading, start answering.

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

Start free practice