In-depth information on how to get hired as a software engineer at Lyft, including a list of the steps that are taken and the questions that are asked at each stage.
Interviewing for a software engineering role at Lyft? You’ve come to the right place. In this comprehensive guide, we’ll walk through everything you need to know to ace the Lyft software engineering interview process from coding challenges and system design to behavioral and problem-solving questions.
Overview of the Lyft Software Engineering Interview Process
The Lyft software engineering interview typically consists of 3-5 rounds:
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Initial phone screen: 30-45 minutes with an engineering manager or recruiter. Quick technical questions to assess basic coding skills.
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Coding challenge: 3-5 day take-home assignment building a web app or optimizing code. Tests real-world skills.
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Technical phone/video interviews: 1-2 rounds of 45-60 minute interviews focused on data structures, algorithms, system design and object-oriented programming.
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On-site interview: 4-6 rounds over 4-6 hours. Includes system design, coding exercises, behavioral and product questions.
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VP interview: Final round with an engineering executive on product impact and culture fit.
Some key things to expect:
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Heavy focus on data structures algorithms object-oriented programming and system design. Study up on these.
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Take-home coding assignments Be prepared to spend 3-5 days working on these.
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Pair programming exercises during on-sites where you’ll collaborate on a problem.
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Questions on Lyft’s products, tech stack and architecture. Understand Lyft’s systems.
Throughout the process, Lyft evaluates your technical skills, problem-solving abilities, communication skills and cultural fit. We’ll cover how to ace each portion below.
How to Prepare for the Coding Challenge
Many candidates find the take-home coding challenge the most difficult part of the Lyft interview. Here are some tips to prepare:
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Clarify requirements upfront. Ask about language, time limits, testing needs, etc.
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Review data structures and algorithms. Practice implementing common ones like stacks, queues, trees and graphs.
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Brush up on web frameworks like React, Angular or Vue. Lyft uses these heavily.
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Write clean, well-documented, well-tested code. Structure it as if it was going to production.
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Manage your time well. Don’t spend too long polishing. Get core functionality working first.
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Test your code thoroughly. Automated tests are expected.
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Deploy your solution if asked. Be ready to set up hosting, databases, etc.
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Communicate proactively with your recruiter if you have issues.
With practice, you can ace the coding challenge and show off your skills!
What to Expect for the Technical Interviews
The technical interviews will focus heavily on data structures, algorithms, object-oriented design and system design. Here are some example questions:
Data Structures and Algorithms:
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Implement a queue using stacks. Analyze the runtime complexity.
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Given a sorted array of integers and a target value, find the first and last position of the target using binary search.
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Reverse a linked list iteratively and recursively. Compare the implementations.
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Find the kth largest element in a binary search tree.
Object-Oriented Programming:
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Design an object-oriented parking lot system. Consider how to model parking spots, vehicles, tickets, etc.
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Implement an LRU caching system. What data structures would you use?
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Design a class to represent complex numbers like 2 + 3i. Define operators like add and multiply.
System Design:
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Design YouTube or Netflix’s video streaming service. Handle video uploads, encoding, storage, recommendations, etc.
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Design Lyft’s ride dispatch system. Manage driver assignments, passenger queues, locations, etc.
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Scale an API server like Twitter to handle millions of users. Optimize for high availability and low latency.
Study up on algorithms, data structures, OOP concepts like inheritance and design patterns. Have a methodology for approaching system design questions.
Mastering the Behavioral and Product Interviews
Along with technical skills, Lyft cares about your problem-solving abilities, communication style, and passion for their mission. Expect behavioral questions like:
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Tell me about a challenging technical problem you faced. How did you solve it?
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Describe a time you disagreed with teammates. How did you handle it?
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What do you think is most exciting about Lyft’s products? How would you improve the rider or driver apps?
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Why do you want to work at Lyft specifically? How do you embody our values?
Use the STAR method (situation, task, action, result) to frame your answers. Highlight analytical thinking, collaboration, influence and leadership skills. Show excitement for Lyft’s mission and products. Research their tech stack and roadmap so you can ask informed questions too.
Top Tips to Ace the Overall Interview Process
Here are some final tips for nailing the entire Lyft software engineering interview process:
For coding challenges and technical interviews:
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Grind LeetCode. Master patterns like sliding windows, fast & slow pointers, dynamic programming.
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Deeply understand data structures like arrays, strings, trees, graphs, heaps. Implement them from scratch.
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Brush up on algorithms like BFS, DFS, binary search, merge sort, quick sort. Do mock interviews.
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Study system design resources like Grokking the System Design Interview. Learn common scalability patterns.
For behavioral and product interviews:
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Review Lyft’s mission. Know their products, tech stack and roadmap inside out.
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Prepare stories highlighting leadership, collaboration, influencer and analytical skills.
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Research your interviewers on LinkedIn. Personalize questions showing your interests.
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Ask insightful questions. Show passion for improving transportation access.
Throughout the process:
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Communicate clearly and confidently. Ask clarifying questions if needed.
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Walk through your thinking process. Be open about tradeoffs and optimizations.
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Stay cool under pressure. The interview is a conversation, not an interrogation.
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Be humble. Admit what you don’t know and how you would learn it.
With rigorous preparation, you can show your skills and land your dream role at this fast-growing transportation innovator. Use these tips to crush your Lyft software engineering interview!
The role of a Lyft Software Engineer
Lyft is a tech company that is rapidly expanding its engineering team and looking for exceptional software engineers.
For software engineers at Lyft, the chance to work on very technical and complicated systems that affect millions of users around the world is a big perk. The engineers at Lyft are part of a creative and active group that is always looking for ways to make things better for users. Cross-functional teams, such as engineering, product, data science, analytics, and operations, work closely with them to create programs that make the user experience better for both drivers and passengers.
As the business grows, software engineers will have many chances to take on new, interesting tasks and be very important to the success of the business.
The average Lyft software engineer salary ranges between US$220.9K for an entry-level SWE to US$541.17K for a staff engineer.
- T3 Software Engineer – US$220.9K
- T4 Software Engineer – US$282.79K
- T5 Software Engineer – US$368.4K
- T6 Software Engineer – US$541.17K
Technical Coding Interview with a Lyft Engineer
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