Top 22 Canonical Software Engineer Interview Questions + Guide in 2025

Canonical Software Engineer Interview Questions + Guide in 2025

1. Introduction

Canonical is the company behind Ubuntu, one of the most widely used Linux distributions in the world. Since its founding in 2004, Canonical has been a leader in open-source innovation, enabling enterprise-grade solutions through cloud-native infrastructure, IoT, and desktop platforms.

If you’re a software engineer passionate about open-source technologies and have experience with Linux, Python, Golang, or distributed systems, Canonical offers a unique opportunity to contribute to mission-critical software used globally.

This guide walks you through the Canonical software engineer interview process, including commonly asked questions and proven preparation strategies to help you stand out.

2. Canonical Software Engineer Interview Process

Canonical’s interview process is structured to assess both technical expertise and cultural alignment. Here’s a breakdown of each stage:

2.1 Written Interview

If shortlisted, you’ll receive a detailed written questionnaire with ~38 questions across four themes:

  • Education: Your academic interests and background.
  • Engineering: Questions like “Describe your experience with Linux-based software development.”
  • Industry Leadership: Involvement in open-source, speaking engagements, or community work.
  • Context: Your understanding of Canonical’s mission and how your goals align.

Keep responses focused—details can be expanded during interviews.

One candidate noted, “The process started with a very long written interview consisting of dozens of questions—my response ended up being around 20 pages.”

2.2 Aptitude Test

This one-hour test includes IQ-style brain teasers and personality assessments. It evaluates problem-solving speed, reasoning, and workplace behavior.

According to one applicant, “It consisted of several brain teaser puzzles where speed was a big factor, so there was a tradeoff between accuracy and speed.”

2.3 Culture/HR Interview

You’ll then speak with someone outside your team in a behavioral interview centered on values, communication, and work preferences.

As one interviewee shared, “‘Do you prefer working independently or as part of a team? Can you describe a challenge you encountered while working on a project?’ were the kinds of thoughtful questions I was asked.”

2.4 Technical Interviews

Expect up to three rounds of technical assessments that may include:

  • Live coding
  • Algorithms and data structures
  • Take-home project and review
  • Deep dives into Linux, systems programming, or your open-source work

One candidate explained, “The first two interviews were about general software architecture and Rust specifics… the last was all Linux/Unix-specific questions.”

2.5 Manager Interviews

The final stage involves interviews with your potential manager and team. This round covers team fit, collaboration, and open Q&A.

Note that timelines may vary—“The engineers were nice, and interviews went well, but the process stretched over five months,” one applicant reported.

3. What Questions Are Asked in a Canonical Software Engineer Interview?

Canonical’s software engineer interview combines technical depth with cultural alignment. Expect questions on Python, algorithms, operating systems, and open-source collaboration. Below are common questions along with tips and example responses.

3.1 Why do you think your personality matches with the company culture?

This question assesses alignment with Canonical’s emphasis on collaboration, remote work, and open-source values.

How to Answer:

Connect Canonical’s culture to your personality and work habits.

Example:

“My enthusiasm for technology and open-source software has always been a driving force in my career. In college, I organized coding workshops and contributed to several open-source projects on GitHub, which made me realize the value of collaboration. I’m someone who thrives on teamwork and is excited to solve complex problems through shared effort.”

3.2 Why do you want to join Canonical?

This evaluates your interest in the company beyond the job title.

How to Answer:

Mention specific products (like Ubuntu), Canonical’s mission, and how they align with your interests.

Example:

“Canonical’s leadership in developing Ubuntu, a platform I’ve personally used and contributed to, has always inspired me. The idea of working on projects that have a global impact, alongside a team that values collaboration and open innovation, is incredibly motivating.”

3.3 What kind of software projects have you worked on before?

Canonical wants to match your background with relevant product areas, like cloud infrastructure, IoT, or dev tools.

How to Answer:

Focus on projects relevant to Canonical’s stack (Python, Linux, cloud systems) and quantify impact when possible.

Example:

“In my previous role, I worked on a cloud-based SaaS platform for SMEs, focusing on backend development using Python and Flask. I developed APIs to integrate with third-party services and volunteered on a Linux-based open-source project promoting digital literacy. These experiences deepened my knowledge of cloud computing and open-source collaboration.”

3.4 Tell me about a time when your colleagues did not agree with your approach.

Tests your conflict resolution skills and maturity in team settings.

How to Answer:

Share how you handled the disagreement constructively and what the resolution taught you.

Example:

“I once had a conflict with a co-worker over prioritizing project features. To resolve it, I set up a one-on-one to discuss our viewpoints and come to an agreement. We decided to consult other team members and gather more user data to make an informed decision. This experience helped me appreciate the importance of empathy and flexibility in teamwork.”

3.5 Please explain how you have kept up with current market problems in the tech industry.

Canonical values engineers who stay informed about industry trends and continuously learn.

How to Answer:

Talk about your learning routines—news sites, forums, courses—and how they influence your work.

Example:

“I regularly follow platforms like TechCrunch and Ars Technica and engage in GitHub and Stack Overflow communities. Recently, I completed a cybersecurity course after noticing increased focus on cloud security. I used those learnings to improve security auditing in one of our internal tools.”

3.6 Given an array filled with random values, write a function to rotate the array by 90 degrees clockwise.

This tests multidimensional array manipulation and spatial reasoning.

How to Answer:

Explain that matrix rotation involves two steps—transpose the matrix, then reverse each row.

Example:

“This can be done using the NumPy library in Python, which efficiently handles arrays. The function will transpose and flip the input matrix horizontally, effectively rotating it 90 degrees clockwise. It’s efficient and works well with matrices of any size.”

3.7 Write a program that checks if an integer is a vampire number.

This problem tests logic, edge case handling, and string manipulation.

How to Answer:

Describe how you’d break down the number, iterate through potential factor pairs, and check digit permutations.

Example:

“My program would first verify that the number has an even number of digits; if not, it cannot be a vampire number. Next, it would generate all possible pairs of factors (fangs) that are each half the length of the original number. For each pair, the program checks if rearranging the digits of the two fangs can produce the original number. This involves converting the numbers to strings, sorting the digits, and then comparing the sorted string of the original number with the concatenated, sorted strings of the fangs. It’s important to iterate efficiently, only considering fang pairs that meet the criteria (e.g., excluding pairs where both fangs end in zero, as this would not lead to a valid vampire number). If any pair of fangs satisfies these conditions, the number is a vampire number.”

3.8 Implement the Fibonacci algorithm in three different methods: recursively, iteratively, and using memoization.

A classic test of algorithm efficiency and optimization.

How to Answer:

Compare the tradeoffs between simplicity (recursion), performance (iteration), and scalability (memoization).

Example:

“A recursive solution involves a function calling itself with a smaller subset of the problem until it reaches a base case. This method is straightforward but can lead to significant inefficiencies due to repeated calculations. The iterative approach calculates each Fibonacci number sequentially, starting from the base cases and building up to the desired number by looping from 0 to n. This method is more efficient as it doesn’t involve repeated calculations or deep call stacks. Memoization optimizes the recursive solution by storing previously calculated Fibonacci numbers in a data structure during the function’s execution. When the function is called again with the same input, it first checks if the result is in the storage to avoid recalculating, which reduces the number of computations needed.”

3.9 You are given an array of strings tokens that represent an arithmetic expression in Reverse Polish notation. Evaluate the expression.

Tests understanding of stack-based logic and operator precedence.

How to Answer:

Walk through using a stack to evaluate expressions in post-order format.

Example:

“I would use a stack to store operands. While iterating through the array of tokens, I would push any numbers I encounter onto the stack. When I come across an operator, I’d pop the two most recent numbers off the stack, apply the operator (being careful to maintain the correct order), and then push the result back onto the stack. After processing all tokens, if the expression is valid, there should be exactly one number left on the stack, which is the result of the expression.”

3.10 You’re given a list of sorted integers in which more than 50% of the list is comprised of the same repeating integer. Write a function to return the list’s median value.

A twist on median-finding that emphasizes optimization using problem constraints.

How to Answer:

Explain how the majority element affects the median’s position in a sorted list.

Example:

“Given the list is sorted and contains a majority element (an element that appears more than 50% of the time), the median will always be this majority element, regardless of whether the list length is odd or even. This is because, in a sorted list, the middle element(s) that determine the median must be part of the majority element’s sequence due to its dominance. Therefore, my function would not need to inspect each element to find the median. Instead, it could directly return the value at the middle index of the list.”

3.11 What is the main advantage of JavaScript?

Tests your grasp of cross-language strengths and how JavaScript supports full-stack development.

How to Answer:

Mention JavaScript’s role in building interactive apps and enabling full-stack development.

Example:

“As the only programming language natively understood by web browsers, it allows developers to create interactive and dynamic web applications. JavaScript’s execution on both the client and server sides, particularly with the advent of Node.js, enables a unified language for full-stack development. Moreover, JavaScript’s extensive ecosystem, including frameworks like React, Angular, and Vue.js, empowers developers to build complex applications efficiently.”

3.12 Write a function to sum two strings together without directly converting them to integers.

Assesses your understanding of low-level string manipulation and number simulation.

How to Answer:

Simulate digit-by-digit addition from right to left, handling carry values.

Example:

“I’d start by initializing an empty result string and a variable to keep track of the carry, which is initially 0. Then, I’d iterate through both strings from the last character to the first, adding the numeric value of each digit along with any carry. If the sum exceeds 9, update the carry; otherwise, reset it. Finally, reverse the result string before returning it.”

3.13 What are Go channels, and how are channels used in Golang?

Tests concurrency and Go-specific knowledge.

How to Answer:

Explain the difference between buffered and unbuffered channels and how they synchronize goroutines.

Example:

“Channels in Go are used for communication between goroutines to enable safe data transfer. Unbuffered channels facilitate direct hand-offs, pausing the sending goroutine until the receiving one is ready, which is useful for ensuring tasks are synchronized. Buffered channels, however, allow sending messages without waiting, up to a certain capacity, useful for managing work queues and asynchronous processing.”

3.14 Write a function to merge two sorted lists into one. What would its time complexity be?

Evaluates algorithmic thinking and Big O analysis.

How to Answer:

Use a two-pointer approach, adding the smaller value to a new list and appending the remainder when one list ends.

Example:

“I’d use a two-pointer approach, starting at the beginning of each list. If one list is exhausted before the other, I would append the rest of the remaining list to the new list. The time complexity is O(n + m), where n and m are the lengths of the two lists.”

3.15 What is the role of the init function in Go?

Tests knowledge of Go’s structure and execution flow.

How to Answer:

Highlight that it runs before main() and is commonly used for configuration or setup tasks.

Example:

“The init function in Go is a special function that automatically runs before the main function. Its main role is to initialize program components, such as setting up configurations, initializing global variables, or performing startup checks.”

3.16 Write a Python function to return the maximum profit from buying and selling a stock.

Tests your understanding of dynamic programming and optimization strategies.

How to Answer:

Track the minimum price and update the maximum profit as you iterate.

Example:

“I would initialize two variables—min_price and max_profit. As I iterate through the list of prices, I update min_price to the lowest value seen so far and calculate the profit for each price. If it’s higher than the current max_profit, I update it. This solution runs in O(n) time.”

3.17 Can you explain the “Shift left to reduce failure” concept in DevOps?

Evaluates your DevOps knowledge and testing philosophy.

How to Answer:

Talk about integrating testing earlier in the development cycle to catch issues early.

Example:

“The ‘Shift left to reduce failure’ concept in DevOps emphasizes the early integration of testing and quality assurance into the software development process. By ‘shifting’ these activities to the left, meaning earlier in the lifecycle, teams can identify and fix bugs sooner, reducing overall development cost and time to resolution.”

3.18 Given a list of sorted integer lists, write a function to create a combined list while maintaining sorted order without using Python’s built-in sort.

Tests your ability to implement k-way merge logic.

How to Answer:

Use a min-heap or pointer approach to compare list heads and append the smallest.

Example:

“In my solution, I would maintain an array of pointers to track the current index of each list. At each step, I’d find the smallest current value among the lists and append it to the result. This approach efficiently maintains sorted order without additional sorting steps.”

3.19 How would you choose a Linux distribution?

Tests your system-level knowledge and deployment preferences.

How to Answer:

Discuss use-case fit, long-term support, community backing, and compatibility.

Example:

“Choosing a Linux distribution depends on several factors, like the specific use case. For stability and long-term support, I’d go with Ubuntu LTS. For bleeding-edge development, Fedora might be more appropriate. I also consider hardware compatibility, support community, and package availability.”

3.20 Given a stream of numbers, select a random number with equal probability and O(1) space.

Evaluates knowledge of streaming algorithms and probability.

How to Answer:

Explain Reservoir Sampling and how it maintains uniform randomness.

Example:

“Using Reservoir Sampling, I would initially select the first element. For each subsequent element at index i, I would generate a random number between 1 and i. If it equals 1, I’d replace the stored result. This ensures every item has equal chance of being picked, with only constant space used.”

4. How to Prepare for a Software Engineer Interview at Canonical

Canonical’s interview process emphasizes technical depth, cultural fit, and your alignment with open-source values. Here’s how to prepare effectively:

4.1 Understand the Role and Responsibilities

Research the specific software engineer role you’re applying for at Canonical. Study the job description, required skills, and day-to-day responsibilities. Reach out to current employees via LinkedIn to gain first-hand insight.

Explore the specific role at Canonical through our Learning Paths to gain a comprehensive understanding of how your skills align with the requirements of this position.

4.2 Brush Up on Technical Skills

Review core technical concepts—algorithms, data structures, system design, and language-specific patterns in Python, Golang, or Linux systems programming. Practice writing optimized, well-documented code that showcases your thought process.

You can practice hands-on engineering projects to strengthen your portfolio.

4.3 Familiarize Yourself with Canonical’s Business Model

Understand Canonical’s products (like Ubuntu, MAAS, Juju, Snap), open-source contributions, and the challenges they face in cloud infrastructure, IoT, and edge computing. Consider how your background can contribute to solving these challenges.

4.4 Practice Problem-Solving and Behavioral Questions

Canonical values clear communication and thoughtful responses. Use the STAR method (Situation, Task, Action, Result) to structure your answers to behavioral questions. Reflect on past experiences that demonstrate initiative, problem-solving, and collaboration.

Visit our Interview Questions section to practice both technical and behavioral questions using the STAR method.

Try a mock interview to test your current preparedness and get feedback on areas of improvement.

4.5 Prepare Questions for the Interviewer

Show your engagement by preparing thoughtful questions about Canonical’s work culture, remote-first environment, team structure, and current challenges. This demonstrates your curiosity and alignment with their mission.

5. FAQs

5.1 What is the average salary for a Software Engineer at Canonical?

$119,866

Average Base Salary

$107,758

Average Total Compensation

Min: $87K
Max: $157K
Base Salary
Median: $117K
Mean (Average): $120K
Data points: 10
Min: $19K
Max: $188K
Total Compensation
Median: $108K
Mean (Average): $108K
Data points: 10

View the full Software Engineer at Canonical salary guide

5.2 What makes Canonical’s interview process unique?

Canonical’s process emphasizes written communication and asynchronous collaboration. It starts with a detailed written questionnaire and includes an aptitude test, technical interviews, and culture-fit rounds. The process reflects the company’s remote-first and open-source-driven culture.

5.3 What technical skills should I prepare for the Canonical software engineer interview?

Focus on Python, Linux-based development, and system-level programming. Knowledge of Golang, distributed systems, Docker, Kubernetes, and networking fundamentals is also highly beneficial.

5.4 Do I need open-source experience to apply at Canonical?

Open-source experience isn’t required but is highly valued. Contributions to GitHub, involvement in OSS communities, or building tools for public use can strengthen your application.

5.5 How should I approach Canonical’s written questionnaire?

Be concise, specific, and reflective. Use real examples from your work to demonstrate technical skill and alignment with Canonical’s mission. Aim to show clarity of thought and strong written communication.

5.6 What is the culture like at Canonical?

Canonical has a fully remote, asynchronous work culture. It values independence, transparency, and deep focus. Engineers are expected to take ownership and collaborate through written communication.

5.7 What types of technical interviews are included?

Expect live coding, take-home assignments, and system design discussions. Interviews often explore Linux internals, Python or Golang coding, architecture trade-offs, and cloud-based infrastructure.

5.8 How long does the interview process usually take?

The process generally spans 3 to 5 weeks from application to offer. The timeline may vary depending on team schedules and the complexity of the role.

5.9 Can I work remotely at Canonical?

Yes. Canonical is remote-first, with employees located around the world. Most roles are fully remote with optional or occasional in-person meetups.

5.10 Where can I find Canonical interview questions to practice?

Visit Interview Query’s Canonical Interview Guide to explore real interview questions, coding challenges, and tips specific to Canonical’s hiring process.

6. Conclusion

Succeeding in a Canonical software engineer interview requires more than technical expertise—it also means demonstrating your alignment with Canonical’s remote-first, open-source-driven culture.

Be ready to show strong problem-solving skills, clear written communication, and a collaborative mindset. Whether it’s through system design, live coding, or thoughtful questionnaire responses, every stage is designed to assess both how you think and how you work.

If you’re exploring other opportunities, don’t miss our Company Interview Guides, including ones for Google, IBM, and Apple.

For more tips and interview strategies, visit the Interview Query Blog.

Good luck—you’ve got this!