J'ai postulé en ligne. Le processus a pris 3 mois. J'ai passé un entretien chez Canonical en févr. 2022
Entretien
As stated in all the other reviews, this process was cumbersome to say the least. There was the essay and personality test, then I spoke to a human for the first time. I had 7 spoken interviews over the course of 3 months (not for an executive level position.) These were each about an hour long. Most of the interview questions were repetitive. At the end, I was given a verbal offer with a promise that paperwork would follow the next week. Then radio silence for 2 weeks with no response to a follow up email. A quick call was then scheduled to rescind the verbal offer because they decided to go with another candidate. Do better, Canonical.
Questions d'entretien [1]
Question 1
- 30 question essay described in other reviews
- describe your resource management strategy
- describe how you build project plans
- a lot of questions related to working with a global team and the challenges that come with juggling time zones
I recently completed Canonical's application process for an Enterprise Project Manager role. The application itself was a significant time suck, but what I found most troubling were questions about high school mathematics and language performances, including requests to justify answers with standardised test scores and academic rankings.
High school performance has nothing to do with professional aptitude. Many talented, capable people have disrupted educations, working multiple jobs to get through college, raising families while studying, or coming from underprivileged backgrounds. GPA and high school test scores do not reflect intelligence or ability. They reflect circumstances.
These questions are discriminatory in their impact, even if unintentional. We are years past COVID, which exposed every inequality in our education system. For a company that prides itself on global diversity and inclusion, these questions send the opposite message.
J'ai postulé en ligne. J'ai passé un entretien chez Canonical
Entretien
The interview process was thorough, but not overwhelming or too long. They focused on skills and experience, rather than asking trick questions. Interviewer was warm and friendly, I enjoyed the experience
Questions d'entretien [1]
Question 1
Tell us about the most impactful project you’ve handled
Just after applying for a role, they send you an email with lots of questions to complete a written submissions (when I say a lot of questions, I mean 6 sections with at least 5 questions each). They ask you not to use any AI or assistant to make it true and honest. I spent around 1 hour to answer every question. All to get an rejection "no-reply" email on the next day without any detailed feedback on why I was rejected.
Questions d'entretien [1]
Question 1
6 categories:
Engineering experience (7 questions, like "Describe your experience with enterprise infrastructure and application management, either as a user running enterprise operations, or as a vendor targeting the enterprise market").
Management experience (4 questions like "Describe the daily, weekly, monthly and quarterly habits you expect in a well-run software engineering team, for individuals and the team").
Industry leadership experience (4 questions like "Describe your experience using content to generate interest in your product")
Canonical context (5 questions like "Outline your thoughts on the mission of Canonical. What is it about the company's purpose and goals which is most appealing to you? What is risky or unappealing? Are there any elements of the company goals that you are unsure about?")
Education (9 questions like "Can you make a case that you are in the top 5% in your academic year, or top 1%, or even higher? If so, please outline that case. Make reference where possible to standardised testing results at regional or national level, or university entrance results. Please explain any specific grading system used").
Domain-specific questions (10 domains, each one with specific questions, like "AI/ML & MLOps - Describe where you see the market for AI/ML & MLOps going over the next 5 years?"
