Shopify DevOps / SRE Interview Questions

Behavioral Questions (12)

1. 1.Tell me about a time you changed how you monitored or alerted on a system based on feedback from the engineers or customers using it. What was their complaint and how did you fix it?

   easy~3 min

   What interviewers look for

   • Shows direct engagement with internal customers (engineers) or external users to understand pain points with existing monitoring/alerting
   • Demonstrates ability to translate user feedback into concrete technical improvements rather than dismissing complaints
   • Mentions specific metrics, alert thresholds, or monitoring tools that were adjusted based on the feedback
   • Shows follow-up to validate that the changes actually solved the original problem

   Likely follow-ups

   • How did you gather that feedback initially - was it through tickets, Slack complaints, or something more structured?
   • What pushback, if any, did you get when you proposed changes to the existing monitoring setup?

   Company context

   Shopify's Merchant Obsession principle applies internally to how SREs serve engineering teams as customers. Given Shopify's scale and the critical nature of commerce infrastructure, SREs must understand developer pain points with observability tooling and iterate based on real feedback rather than assuming what engineers need.

2. 2.You're managing deployments for our Shopify Payments service during Black Friday. Deployment velocity needs to stay high for critical merchant fixes, but any payment downtime costs millions. How would you structure the deployment pipeline?

   easy~3 min

   What interviewers look for

   • Implements canary or blue-green deployment strategy with automated rollback triggers based on payment success metrics
   • Separates critical hotfixes from regular feature deployments with different promotion gates
   • Includes load testing and chaos engineering validation steps before promoting to full traffic

   Likely follow-ups

   • What specific metrics would trigger an automatic rollback during a payment service deployment?
   • How would you handle a situation where a critical security fix needs to go out immediately during peak Black Friday traffic?

   Company context

   Shopify's 'Get Shit Done' value requires maintaining high deployment velocity even during peak commerce events. The Shopify Payments infrastructure processes billions in transactions and any downtime directly impacts merchant revenue, making deployment safety critical to the merchant obsession principle.

3. 3.Tell me about a time you had to convince other engineering teams to adopt a new operational practice or tool that would make their lives harder in the short term but improve overall system reliability.

   easy~3 min

   What interviewers look for

   • Shows ability to influence without authority by building consensus across teams
   • Demonstrates understanding that reliability improvements often require upfront investment and change management
   • Provides concrete examples of how they measured adoption success and system improvements
   • Shows empathy for other teams' priorities while maintaining focus on long-term merchant impact

   Likely follow-ups

   • How did you handle pushback from teams who felt this wasn't their priority?
   • What would you do differently if you had to roll out a similar change today?

   Company context

   At Shopify, DevOps/SRE engineers must frequently influence product teams and other engineering groups to adopt reliability practices that support merchant success during high-traffic events like Black Friday. This requires strong cross-team leadership skills since SREs don't have direct authority over other engineering teams but must ensure the platform can handle commerce scale.

4. 4.Our Shop App has been growing 40% quarter-over-quarter and we're seeing database query timeouts during peak shopping hours. Estimate how much additional database capacity we'd need to handle the next 18 months of growth, and walk me through your assumptions about user behavior.

   easy~4 min

5. 5.Describe a time you completely rethought how you approached reliability or infrastructure instead of just making incremental improvements. What made you challenge the existing approach?

   medium~4 min

6. 6.Our Rails monolith is hitting CPU limits on database queries during traffic spikes. The merchant admin dashboard is particularly slow. You need to improve performance without breaking the existing codebase. Walk me through your approach.

   medium~4 min

7. 7.Describe a situation where you had to make a quick decision about system architecture or tooling during a critical moment, like a major outage or traffic spike, when you didn't have all the information you wanted.

   medium~4 min

8. 8.You notice that API response times for our Shopify Plus enterprise merchants are 20% slower than for smaller merchants, but both groups hit the same backend services. How would you systematically investigate and resolve this performance gap?

   medium~5 min

9. 9.Walk me through how you handled the most severe production incident you've been involved in. What broke, how did you diagnose it, and what did you learn about your systems?

   hard~5 min

10. 10.Design the infrastructure for Shopify's new checkout service that needs to handle 100x normal load during flash sales while maintaining sub-50ms response times. The service processes payment authorization and inventory checks across our sharded database.

    hard~5 min

11. 11.Walk me through a time when you had to completely change your team's approach to solving an infrastructure problem because the initial solution wasn't going to scale to Shopify's level of growth or merchant needs.

    hard~5 min

12. 12.Black Friday is in 6 weeks and our capacity modeling shows we can handle 8x normal load, but marketing wants to run a flash sale that could drive 15x load in a 30-minute window. You have budget for additional infrastructure but lead times for some services are 4-6 weeks. How do you approach this?

    hard~5 min