# Software Engineer
**Role:** Software Engineer · **Level:** Software Engineer I
**Company:** [Coursera](https://scaleengineer.com/companies/coursera)
**Difficulty:** Medium
**Salary:** US$85000 - US$110000
**Experience:** 0 - 2
**Timeline:** ~14 days
The Software Engineer I interview process at Coursera 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 initial screening and progressing through technical assessments and behavioral interviews.
Canonical: https://scaleengineer.com/interviews/coursera/software-engineer-i-software-engineer
---
## Overall evaluation

- Technical Skills
- Behavioral and Communication Skills
- Cultural Fit and Motivation

## 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 situation where you had to deal with a conflict in a team.
- What interests you about working at Coursera?
- How would you design a URL shortener service?
- Tell me about a time you failed and what you learned from it.
- What are the advantages of using a NoSQL database over a relational database?
- How do you stay updated with new technologies?
- If you were given a bug report from a user, what steps would you take to diagnose and fix it?

## Preparation tips

### lists

- Review fundamental data structures and algorithms.
- Practice coding problems on platforms like LeetCode or HackerRank.
- Understand core computer science concepts (e.g., operating systems, databases, networking).
- Prepare examples for common behavioral questions using the STAR method.
- Research Coursera's mission, values, and recent projects.
- Familiarize yourself with the technologies commonly used at Coursera (e.g., Python, Java, JavaScript, cloud platforms).

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, recursion, dynamic programming). Practice implementing these from scratch and analyze their time and space complexity.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementations and complexity analysis."}
- {"title":"System Design and OOP","longDescription":"Weeks 3-4: Deep dive into system design concepts relevant to entry-level roles, such as API design, database choices, and basic scalability considerations. Also, review object-oriented programming principles and design patterns.","shortDescription":"Weeks 3-4: System Design basics & OOP. Focus on APIs, databases, and design patterns."}
- {"title":"Behavioral Preparation","longDescription":"Week 5: Prepare for behavioral interviews. Reflect on past experiences and prepare stories using the STAR method that demonstrate problem-solving, teamwork, and learning agility. Research Coursera's culture and values.","shortDescription":"Week 5: Behavioral interview prep. Use STAR method and research Coursera's culture."}
- {"title":"Mock Interviews and Refinement","longDescription":"Week 6: Practice mock interviews, focusing on both technical problem-solving and behavioral responses. Get feedback and refine your approach.","shortDescription":"Week 6: Mock interviews. Practice technical and behavioral responses, seek feedback."}

## Location differences

- {"location":"Mountain View, CA","differences":{"tips":["Highlight projects where you demonstrated quick learning.","Be prepared to discuss your thought process for problem-solving.","Emphasize teamwork and communication in your examples."],"interviewFocus":["Adaptability to new technologies","Problem-solving in a fast-paced environment","Collaboration and communication skills"],"commonQuestions":["Tell me about a challenging project you worked on.","How do you approach debugging a complex issue?","Describe a time you had to learn a new technology quickly."]}}
- {"location":"New York, NY","differences":{"tips":["Showcase your understanding of clean code principles.","Be ready to discuss your experience with specific cloud services.","Explain your contributions to agile processes."],"interviewFocus":["Understanding of software development best practices","Familiarity with cloud infrastructure","Experience with agile workflows"],"commonQuestions":["How do you ensure code quality and maintainability?","Describe your experience with cloud platforms (e.g., AWS, GCP).","What are your thoughts on agile development methodologies?"]}}

## Round 1: Online Coding Assessment
**Type:** Technical Screening (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge to assess problem-solving and implementation skills.
This round typically involves a coding challenge, often conducted via a shared online editor. The interviewer will present a problem and assess how you approach it, from understanding the requirements to implementing and testing a solution. They will be looking for your thought process, how you handle edge cases, and the efficiency of your code.
**Interviewers look for:** Logical thinking; Ability to break down problems; Proficiency in at least one programming language; Understanding of basic data structures and algorithms
**Evaluation criteria:** Problem-solving approach; Correctness of the solution; Code efficiency (time and space complexity); Clarity and readability of the code
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of fundamental data structures and algorithms knowledge.; Poor coding style or inability to write working code.
## Questions

- Given a string, find the length of the longest substring without repeating characters.
- Implement a function to check if a binary tree is a Binary Search Tree (BST).

## Preparation tips

- Practice coding on platforms like LeetCode, HackerRank, or Coderbyte.
- Focus on understanding time and space complexity (Big O notation).
- Be prepared to explain your code line by line.
- Practice thinking out loud while solving problems.

## Round 2: Computer Science Fundamentals Interview
**Type:** Technical Interview (CS Fundamentals) · **Difficulty:** Medium · **Duration:** 60 min
Assesses foundational computer science knowledge and conceptual understanding.
This round focuses on your foundational computer science knowledge. You'll be asked questions about data structures, algorithms, operating systems, databases, and potentially networking. The interviewer wants to see how well you understand the underlying principles of software development and how you can apply them.
**Interviewers look for:** Solid grasp of data structures and algorithms; Understanding of operating systems, databases, and networking basics; Ability to articulate solutions and trade-offs
**Evaluation criteria:** Depth of understanding of CS fundamentals; Ability to explain technical concepts; Problem-solving approach; Communication clarity
**Common rejection reasons:** Inability to explain technical concepts clearly.; Lack of understanding of core CS principles.; Poor communication skills.
## Questions

- Explain the difference between TCP and UDP.
- What is a deadlock and how can it be prevented?
- Describe the process of a database query.

## Preparation tips

- Review core CS concepts from your university coursework or online resources.
- Be prepared to explain concepts like Big O notation, different sorting algorithms, and database indexing.
- Practice explaining technical topics as if you were teaching someone else.

## Round 3: Behavioral and Cultural Fit Interview
**Type:** Behavioral Interview · **Difficulty:** Easy · **Duration:** 30 min
Assesses cultural fit, motivation, and behavioral competencies.
This interview focuses on your behavioral aspects and cultural fit. You'll be asked questions about your past experiences, how you handle challenges, your teamwork style, and your motivations for joining Coursera. Using the STAR method (Situation, Task, Action, Result) is highly recommended for answering these questions.
**Interviewers look for:** Alignment with Coursera's values; Genuine interest in the company's mission; Ability to work effectively in a team; Self-awareness and reflection
**Evaluation criteria:** Cultural alignment; Motivation and passion for the role and company; Communication and interpersonal skills; Teamwork and collaboration potential
**Common rejection reasons:** Lack of enthusiasm or interest in Coursera.; Poor fit with company culture.; Inability to provide specific examples for behavioral questions.
## Questions

- Tell me about a time you had to work with a difficult teammate. How did you handle it?
- What are your career goals for the next 3-5 years?
- Why are you interested in this role at Coursera?

## Preparation tips

- Research Coursera's mission, values, and culture.
- Prepare specific examples using the STAR method for common behavioral questions (e.g., teamwork, conflict resolution, overcoming challenges).
- Think about why you want to work at Coursera specifically.
- Be ready to ask thoughtful questions about the team and the role.