# Software Engineer
**Role:** Software Engineer · **Level:** Software Engineer I
**Company:** [Flexport](https://scaleengineer.com/companies/flexport)
**Difficulty:** Medium
**Salary:** US$85000 - US$110000
**Experience:** 0 - 2
**Timeline:** ~7 days
The Software Engineer I interview process at Flexport is designed to assess a candidate's foundational technical skills, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds, starting with an HR screening, followed by technical interviews focusing on data structures, algorithms, and coding proficiency, and concluding with a hiring manager interview to evaluate overall fit and career aspirations.
Canonical: https://scaleengineer.com/interviews/flexport/software-engineer-i-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication and Collaboration
- Cultural Fit

## Questions asked

- Write a function to reverse a linked list.
- Given an array of integers, find the two numbers that add up to a specific target.
- Explain the difference between a process and a thread.
- Describe a time you had to deal with a difficult stakeholder.
- How would you design a URL shortening service?
- What are your strengths and weaknesses?
- Why are you interested in Flexport?

## Preparation tips

### lists

- Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium-difficulty problems.
- Understand basic system design concepts, even for entry-level roles, such as scalability, availability, and trade-offs.
- Prepare to discuss your past projects and experiences in detail, focusing on your contributions and the impact you made.
- Research Flexport's mission, values, and recent news to understand the company's business and culture.
- Prepare questions to ask the interviewer about the role, team, and company.
- Practice behavioral questions using the STAR method (Situation, Task, Action, Result).

### studyPlan

- {"title":"Data Structures and Algorithms Fundamentals","longDescription":"Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, and hash maps. Practice common algorithms such as sorting (quicksort, mergesort), searching (binary search), and basic recursion. Solve 10-15 medium LeetCode problems related to these topics.","shortDescription":"Weeks 1-2: Data Structures (Arrays, Linked Lists, Hash Maps) & Algorithms (Sorting, Searching, Recursion). Practice 10-15 medium LeetCode problems."}
- {"title":"Advanced Data Structures and Algorithms","longDescription":"Weeks 3-4: Dive into more complex data structures like trees (binary trees, BSTs, tries) and graphs. Study graph traversal algorithms (BFS, DFS) and dynamic programming concepts. Solve another 15-20 medium LeetCode problems, including tree and graph problems.","shortDescription":"Weeks 3-4: Advanced Data Structures (Trees, Graphs) & Algorithms (BFS, DFS, DP). Practice 15-20 medium LeetCode problems."}
- {"title":"System Design Basics","longDescription":"Week 5: Begin exploring basic system design principles. Understand concepts like load balancing, caching, database choices (SQL vs. NoSQL), and API design. Read articles and watch videos on common system design interview patterns. Focus on understanding trade-offs.","shortDescription":"Week 5: System Design Fundamentals (Load Balancing, Caching, Databases, APIs). Understand trade-offs."}
- {"title":"Behavioral and Cultural Fit Preparation","longDescription":"Week 6: Prepare for behavioral and situational questions. Review your resume and identify key projects and experiences. Practice articulating your contributions and learnings using the STAR method. Research Flexport's values and prepare examples that demonstrate alignment.","shortDescription":"Week 6: Behavioral Questions (STAR Method) & Company Research. Prepare examples for Flexport's values."}
- {"title":"Mock Interviews and Final Review","longDescription":"Week 7: Conduct mock interviews with peers or mentors. Focus on simulating the actual interview environment, including time constraints and explaining your thought process. Refine your answers and identify areas for improvement.","shortDescription":"Week 7: Mock Interviews. Simulate interview conditions and refine answers."}

## Location differences

- {"location":"Remote","differences":{"tips":["Ensure a stable internet connection and a quiet environment.","Be prepared to share your screen and use virtual whiteboarding tools.","Clearly articulate your thought process, especially in remote settings."],"interviewFocus":["Adaptability to remote collaboration tools and practices.","Communication skills in a distributed environment.","Understanding of asynchronous work methodologies."],"commonQuestions":["Tell me about a challenging technical problem you solved.","How do you approach learning a new technology?","Describe a time you disagreed with a teammate and how you resolved it."]}}
- {"location":"San Francisco","differences":{"tips":["Research Flexport's presence and impact in the San Francisco Bay Area.","Be prepared to discuss your commute and work-life balance in a city context.","Highlight any experience with local meetups or tech events."],"interviewFocus":["Understanding of the local market and competitive landscape.","Ability to thrive in a high-energy, collaborative office setting.","Familiarity with local transportation and work-life balance considerations."],"commonQuestions":["What are your thoughts on the local tech scene?","How do you see yourself contributing to the San Francisco tech community?","Describe your experience working in a fast-paced, urban environment."]}}

## Round 1: Coding and Algorithms Assessment
**Type:** Technical Interview - Coding · **Difficulty:** Medium · **Duration:** 45 min
Assess core programming skills through coding challenges.
This round focuses on assessing your core programming skills. You will be asked to solve coding problems, typically involving data structures and algorithms. The interviewer will evaluate how you approach the problem, your ability to write clean and efficient code, and your understanding of fundamental computer science concepts. Expect to write code on a shared editor or whiteboard.
**Interviewers look for:** Logical thinking; Clean and efficient code; Ability to break down complex problems
**Evaluation criteria:** Problem-solving approach; Coding proficiency; Understanding of data structures and algorithms
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of fundamental coding skills.; Poor understanding of basic data structures and algorithms.
## Questions

- Given an array of integers, return indices of the two numbers such that they add up to a specific target.
- Implement a function to check if a binary tree is a valid Binary Search Tree (BST).

## Preparation tips

- Practice coding problems on platforms like LeetCode.
- Be prepared to explain your thought process step-by-step.
- Test your code with edge cases.
- Understand time and space complexity (Big O notation).

## Round 2: System Design Fundamentals
**Type:** Technical Interview - System Design · **Difficulty:** Medium · **Duration:** 60 min
Assess ability to design scalable systems and understand trade-offs.
This round evaluates your ability to think about system design, even at an entry-level. You might be asked to design a simplified version of a common system (e.g., a URL shortener, a basic social media feed). The focus is on understanding your approach to breaking down a problem, identifying components, considering scalability, and discussing trade-offs.
**Interviewers look for:** Ability to design scalable and reliable systems; Understanding of distributed systems concepts; Pragmatic approach to problem-solving
**Evaluation criteria:** System design thinking; Scalability considerations; Trade-off analysis; Clarity of explanation
**Common rejection reasons:** Inability to explain design choices.; Lack of consideration for scalability and trade-offs.; Poor communication of system design concepts.
## Questions

- Design a URL shortening service like bit.ly.
- How would you design a system to count the number of views for a popular website?

## Preparation tips

- Study common system design patterns.
- Understand concepts like load balancing, caching, databases, and APIs.
- Practice designing simple systems.
- Be prepared to justify your design decisions.

## Round 3: Behavioral and Managerial Fit
**Type:** Behavioral and Managerial Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess behavioral competencies, teamwork, and cultural fit.
This interview focuses on your behavioral and situational responses, as well as your overall fit with the team and Flexport's culture. The hiring manager will ask questions about your past experiences, how you handle challenges, your teamwork abilities, and your career aspirations. They will also assess your understanding of Flexport and your motivation for joining the company.
**Interviewers look for:** Positive attitude; Collaborative spirit; Self-awareness; Passion for technology and Flexport's mission
**Evaluation criteria:** Teamwork and collaboration skills; Communication style; Problem-solving approach in team settings; Alignment with Flexport's values; Motivation and career goals
**Common rejection reasons:** Poor cultural fit.; Lack of enthusiasm or interest in the role/company.; Inability to provide specific examples for behavioral questions.; Unrealistic career expectations.
## Questions

- Tell me about a time you failed and what you learned from it.
- Describe a project you are particularly proud of and your role in it.
- How do you handle constructive criticism?

## Preparation tips

- Prepare specific examples using the STAR method for common behavioral questions.
- Research Flexport's mission, values, and culture.
- Think about why you want to work at Flexport and what you can contribute.
- Prepare thoughtful questions to ask the hiring manager.