Process
I applied online. The process took 1 week.
- 1h 15m pair programming interview with an engineering manager.
- Was instructed to use AI as I would use it at my current position.
- Completed the problem with manual/unit testing.
- Received an email the next day that they were passing on me.
LESSON: Despite what Shopify says about going all in on AI, DO NOT use too much AI in your interview. If I had known I was discounted against that, I wouldn't have used it.
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Interview Statistics
The following metrics were computed from 8 interview experiences for the Shopify Staff Software Engineer role.
Success Rate
13%
Pass Rate
Shopify's interview process for their Staff Software Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive13%
Neutral13%
Negative75%
Candidates reported having very negative feelings for Shopify's Staff Software Engineer interview process.
Shopify Work Experiences
3.0
Data org is a mess
Staff Software Engineer • Former Employee
Toronto, Canada
March 18, 2021
Pros: All the perks they describe, etc.
Cons: Data org is riddled with bad infrastructure, poor management, and the idea that you can hire a bunch of business analysts ("data scientists") and have them develop machine learning products that require engineering.
Also, way too much Kool-Aid.
5.0
Best place to work!
Staff Software Engineer • Current Employee
September 16, 2021
Pros: Best people!
High moral values!
Decent compensation.
Cons: Expectations from everyone are very high, but I consider that a good thing.
4.0
Big Scale, Constant Change
Staff Software Engineer • Former Employee
London, United Kingdom
June 6, 2025
Pros: Huge scale, interesting challenges, and good tooling.
Cons: Constant change, very different experiences depending on the team.
- 3.0Data org is a messStaff Software Engineer • Former EmployeeToronto, CanadaMarch 18, 2021Pros: All the perks they describe, etc.Cons: Data org is riddled with bad infrastructure, poor management, and the idea that you can hire a bunch of business analysts ("data scientists") and have them develop machine learning products that require engineering. Also, way too much Kool-Aid.
- 5.0Best place to work!Staff Software Engineer • Current EmployeeSeptember 16, 2021Pros: Best people! High moral values! Decent compensation.Cons: Expectations from everyone are very high, but I consider that a good thing.
- 4.0Big Scale, Constant ChangeStaff Software Engineer • Former EmployeeLondon, United KingdomJune 6, 2025Pros: Huge scale, interesting challenges, and good tooling.Cons: Constant change, very different experiences depending on the team.
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