Swiggy Software Engineer Interview: Rounds, Questions and Preparation

What the job involves

As a Software Engineer at an Indian unicorn or high-growth startup like Swiggy, you will build and scale consumer-facing products that handle millions of daily transactions. Your day-to-day involves writing clean, efficient code, designing APIs and data models, debugging production issues, and collaborating with product, design, and operations teams to ship features fast. Expect a strong emphasis on ownership, quick iteration, and solving real-time problems such as order tracking, payments, or delivery routing.

Role and Technical Knowledge

1. 1

   How would you design a system to track the live location of a delivery partner and show it to a customer on a map?

   A strong answer covers WebSocket or long polling for real-time updates, a geospatial database like Redis or PostGIS, and handling high write throughput from thousands of partners.

2. 2

   Explain the difference between SQL and NoSQL databases. Which would you choose for storing restaurant menus and why?

   Discuss consistency, scalability, and query patterns. For menus, a document store like MongoDB or a relational DB with caching can work, but justify based on read-heavy, flexible schema needs.

3. 3

   What happens when you type a URL into a browser and hit enter? Walk me through the process.

   Cover DNS resolution, TCP handshake, HTTP request, server-side processing, and rendering. Highlight caching, load balancers, and CDNs where relevant.

4. 4

   How would you handle a scenario where an order is placed but the payment fails after the order is confirmed?

   Mention idempotency keys, transaction rollbacks, event-driven architecture with message queues, and compensating transactions to maintain consistency.

Practical Scenarios and Problem Solving

1. 5

   You are given a list of orders with timestamps. How would you find the busiest hour of the day for a restaurant?

   Propose a hash map to count orders per hour, then find the maximum. Discuss time complexity and handling large datasets with streaming or batch processing.

2. 6

   A feature you built is causing slow response times in production. How do you debug and fix it?

   Talk about monitoring tools, logging, profiling, checking database queries, and adding caching. Emphasize a systematic approach from symptoms to root cause.

3. 7

   How would you design a rate limiter for an API that gets sudden spikes in traffic?

   Explain token bucket or sliding window algorithms, using Redis for distributed rate limiting, and returning proper HTTP 429 responses.

4. 8

   You need to roll out a new payment method to 1% of users. How would you approach this?

   Cover feature flags, A/B testing, monitoring key metrics like success rate and latency, and a rollback plan if issues arise.

Behavioural and Cultural Fit

1. 9

   Tell me about a time you had to learn a new technology quickly to complete a project.

   Use the STAR method. Highlight the urgency, your learning approach, and the successful outcome. Show ownership and adaptability.

2. 10

   Describe a situation where you disagreed with a teammate. How did you handle it?

   Focus on respectful communication, data-driven discussion, and willingness to compromise for the team's goal. Avoid blaming others.

3. 11

   Give an example of a time you failed. What did you learn?

   Choose a real failure, take responsibility, and explain the concrete steps you took to improve. Show growth mindset and resilience.

HR and Company-Specific Questions

1. 12

   Why do you want to work at a high-growth startup like Swiggy instead of a large MNC?

   Show passion for fast-paced environments, ownership, and impact. Mention specific challenges like scaling, real-time systems, or hyperlocal logistics.

2. 13

   Where do you see yourself in three years?

   Align your growth with the company's needs: deepening technical expertise, leading small projects, and contributing to scalable systems. Avoid vague answers.

3. 14

   How do you prioritize tasks when you have multiple deadlines?

   Talk about impact vs effort, communicating with stakeholders, and using tools like Jira or Trello. Give a brief example from college projects or internships.

4. 15

   What do you know about our engineering culture and tech stack?

   Research the company's blog, tech talks, and open-source contributions. Mention languages like Java, Go, or Python, and frameworks like Kafka or Kubernetes if relevant.