Scale Engineer

Software Engineer

Software EngineerSenior Software EngineerHard

The interview process for a Senior Software Engineer at Coursera is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. It typically involves multiple rounds, including technical screenings, coding challenges, system design discussions, and behavioral interviews.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$130000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages and technologies.
  • Problem-solving skills and analytical thinking.
  • System design capabilities and understanding of scalability.
  • Communication and collaboration skills.
  • Cultural fit and alignment with Coursera's values.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts, including data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Study system design principles and common architectural patterns.
  4. Prepare examples for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Coursera's mission, values, and recent projects.
  6. Understand the technologies and tools commonly used at Coursera.
  7. Prepare questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals and practice.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, and sorting/searching algorithms. Practice problems related to time and space complexity analysis.

Questions

Commonly asked.

  • Tell me about a time you had to deal with a complex technical challenge.
  • How would you design a system to handle millions of concurrent users?
  • Describe your experience with cloud computing platforms.
  • What are your strengths and weaknesses as a software engineer?
  • How do you stay updated with the latest technologies?
  • Explain a concept like eventual consistency or ACID properties.
  • How would you approach debugging a performance issue in a distributed system?
  • Describe a project you are particularly proud of and your role in it.
  • How do you handle disagreements within a team?
  • What are your thoughts on test-driven development (TDD)?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

North America

Interview focus

Deep understanding of distributed systems principles.Experience with large-scale data processing and management.Proficiency in cloud-native architectures and services.Ability to mentor junior engineers and lead technical initiatives.

Common questions

  • How would you design a URL shortener service?
  • Discuss a challenging technical problem you solved recently.
  • Explain the CAP theorem and its implications for distributed systems.
  • How do you handle concurrency in your applications?
  • Describe your experience with cloud platforms like AWS, Azure, or GCP.

Tips

  • Emphasize experience with scalable and resilient systems.
  • Be prepared to discuss trade-offs in system design decisions.
  • Highlight leadership and mentorship experience.
  • Showcase familiarity with CI/CD pipelines and DevOps practices.

Rounds

Round-by-round.

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

DSA

Coding questions at Coursera.

Frequently reported on Coursera loops

View all at Coursera

Other guides

More at Coursera.