Scale Engineer

Software Engineer I

Software EngineerL6Medium

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.

Rounds·3

Timeline·~7d

Experience·3 - 5 yrs

Comp band·US$180000 - US$250000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving ability
  • Algorithmic thinking
  • Data structures knowledge
  • Code quality and efficiency
  • System design and architecture
  • Scalability and performance considerations
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit

Preparation

How to prepare.

Tips

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

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures & Algorithms

Weeks 1-2: DSA Fundamentals & Practice (Medium/Hard)

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.

Questions

Commonly 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?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

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.

Common questions

  • 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.

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.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Swiggy.

Frequently reported on Swiggy loops

View all at Swiggy

Other guides

More at Swiggy.