# Software Engineer I
**Role:** Software Engineer · **Level:** L6
**Company:** [Swiggy](https://scaleengineer.com/companies/swiggy)
**Difficulty:** Medium
**Salary:** US$180000 - US$250000
**Experience:** 3 - 5
**Timeline:** ~7 days
Swiggy is looking for a talented Software Engineer I (L6) to join our dynamic team. This role involves designing, developing, and maintaining scalable and robust software solutions that power our innovative platform. You will collaborate with cross-functional teams to deliver high-quality features and contribute to the overall technical strategy of the company.
Canonical: https://scaleengineer.com/interviews/swiggy/l6-software-engineer
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## Overall evaluation

- Technical Skills
- Communication Skills
- Behavioral Aspects

## Questions asked

- Design a URL shortening service.
- Implement a rate limiter.
- Explain the difference between TCP and UDP.
- How would you design a system to track the real-time location of delivery partners?
- Describe a time you had a conflict with a team member and how you resolved it.
- What are the trade-offs between using a relational database and a NoSQL database for user profiles?
- Write a function to find the kth largest element in an array.
- How do you handle errors in a distributed system?
- Tell me about a project you are particularly proud of.
- What are your thoughts on microservices vs. monoliths?

## Preparation tips

### lists

- Review fundamental data structures and algorithms.
- Practice coding problems on platforms like LeetCode, HackerRank, etc.
- Study system design principles and common patterns.
- Understand distributed systems concepts.
- Prepare for behavioral questions by reflecting on past experiences.
- Research Swiggy's business and technology stack.
- Practice explaining your thought process clearly.

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"Weeks 1-2: Focus on core Data Structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and Algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice problems on platforms like LeetCode, aiming for medium to hard difficulty.","shortDescription":"Weeks 1-2: DSA Fundamentals & Practice (Medium/Hard)"}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into System Design. Cover topics like scalability, availability, consistency, databases (SQL vs. NoSQL), caching, load balancing, message queues, and microservices architecture. Study common design patterns and trade-offs.","shortDescription":"Weeks 3-4: System Design Principles & Patterns"}
- {"title":"Distributed Systems","longDescription":"Week 5: Focus on Distributed Systems. Understand concepts like CAP theorem, consensus algorithms (e.g., Raft, Paxos), distributed transactions, and fault tolerance. Relate these concepts to real-world scenarios.","shortDescription":"Week 5: Distributed Systems Concepts"}
- {"title":"Behavioral Preparation","longDescription":"Week 6: Prepare for Behavioral and Situational questions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Think about projects where you demonstrated leadership, teamwork, problem-solving, and conflict resolution.","shortDescription":"Week 6: Behavioral & Situational Preparation (STAR Method)"}
- {"title":"Final Preparation","longDescription":"Week 7: Mock interviews and review. Practice explaining your solutions and design choices. Get feedback from peers or mentors. Review any weak areas identified during practice.","shortDescription":"Week 7: Mock Interviews & Review"}

## Location differences

- {"location":"Bangalore","differences":{"tips":["Brush up on distributed systems concepts and common challenges.","Prepare examples of scaling solutions you've implemented.","Familiarize yourself with cloud services relevant to Swiggy's operations (e.g., AWS Lambda, S3, DynamoDB).","Understand the trade-offs between different architectural patterns."],"interviewFocus":["Deep understanding of distributed systems and scalability.","Experience with cloud-native architectures.","Problem-solving skills in a high-throughput environment.","Familiarity with data engineering and processing pipelines."],"commonQuestions":["How would you optimize a database query for a high-traffic e-commerce platform?","Describe a challenging distributed systems problem you solved.","What are your thoughts on microservices vs. monolithic architecture for a food delivery app?","How do you ensure data consistency in a distributed environment?","Discuss your experience with cloud platforms like AWS, Azure, or GCP."]}}
- {"location":"Gurgaon","differences":{"tips":["Focus on designing systems that can handle high concurrency and low latency.","Prepare to discuss trade-offs in system design choices.","Understand how to build for failure and ensure system availability.","Be ready to explain your thought process for designing scalable APIs."],"interviewFocus":["System design and architecture for real-time applications.","Scalability and performance optimization.","Resilience and fault tolerance.","Experience with microservices and container orchestration."],"commonQuestions":["How would you design a real-time notification system for delivery partners?","Discuss strategies for handling peak load during festivals or major events.","What are the key considerations for building a fault-tolerant system?","How do you approach API design for internal and external services?","Describe your experience with containerization technologies like Docker and Kubernetes."]}}

## Round 1: Coding Round
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Assess core coding skills and problem-solving abilities.
This round focuses on your fundamental programming skills. You will be asked to solve coding problems that test your knowledge of data structures and algorithms. The interviewer will assess your ability to analyze problems, devise efficient solutions, write clean code, and explain your reasoning.
**Interviewers look for:** Strong grasp of DSA; Clean and efficient coding practices; Logical thinking; Ability to communicate technical ideas
**Evaluation criteria:** Problem-solving approach; Correctness of the solution; Efficiency of the solution (time and space complexity); Code clarity and style; Ability to explain the solution
**Common rejection reasons:** Inability to articulate thought process; Poor understanding of fundamental data structures and algorithms; Suboptimal code solutions; Lack of clarity in explanations
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to reverse a linked list.
- Find the shortest path in a grid with obstacles.

## Preparation tips

- Practice coding problems regularly.
- Understand the time and space complexity of your solutions.
- Be prepared to explain your approach before coding.
- Write clean, readable, and well-commented code.

## Round 2: System Design Round
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable and robust software systems.
This round evaluates your ability to design complex systems. You will be presented with a high-level problem and asked to design a system that meets specific requirements, considering factors like scalability, performance, availability, and maintainability. You'll need to discuss trade-offs and justify your architectural decisions.
**Interviewers look for:** Ability to design scalable and robust systems; Understanding of distributed systems concepts; Knowledge of various architectural patterns; Ability to justify design choices
**Evaluation criteria:** System design approach; Scalability and performance considerations; Choice of technologies and trade-offs; Handling of concurrency and distributed systems; Fault tolerance and reliability
**Common rejection reasons:** Lack of understanding of system design principles; Inability to handle scale and performance requirements; Poor trade-off analysis; Not considering edge cases and failure scenarios
## Questions

- Design a system like Twitter's news feed.
- Design a distributed key-value store.
- How would you design a notification service for millions of users?

## Preparation tips

- Study common system design patterns (e.g., load balancing, caching, databases).
- Understand distributed systems concepts (e.g., CAP theorem, consistency models).
- Practice designing systems for various scenarios (e.g., social media feed, e-commerce platform).
- Be prepared to discuss trade-offs between different design choices.

## Round 3: Behavioral Round
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess cultural fit, behavioral competencies, and motivation.
This round focuses on your past experiences and how they align with Swiggy's culture and values. You'll be asked behavioral questions to understand your work style, problem-solving approach, and how you handle various workplace situations. The interviewer will also assess your motivation for joining Swiggy and your career aspirations.
**Interviewers look for:** Alignment with Swiggy's values; Ability to work in a team; Proactiveness and ownership; Growth mindset
**Evaluation criteria:** Behavioral competencies (teamwork, leadership, problem-solving); Cultural fit; Motivation and career goals; Communication clarity
**Common rejection reasons:** Poor communication skills; Lack of self-awareness; Negative attitude; Inability to provide specific examples; Mismatch with company values
## Questions

- Tell me about a time you faced a significant technical challenge and how you overcame it.
- Describe a situation where you had to work with a difficult team member.
- Why are you interested in Swiggy?
- How do you stay updated with new technologies?

## Preparation tips

- Prepare examples using the STAR method.
- Reflect on your strengths and weaknesses.
- Understand Swiggy's mission, vision, and values.
- Be ready to discuss your career goals and why you're interested in this role.