Microsoft DevOps / SRE Interview Questions

1.Tell me about a time in the last year when you had to learn a completely new technology or tool to solve a production issue. What was the problem, and how did you approach learning it under pressure?

2.Tell me about the most challenging technical skill gap you've had to close in your DevOps career. How did you identify it was holding you back and what was your learning plan?

3.Describe a time when you had to investigate and fix a service outage that was impacting customers. How did you understand the customer impact and what drove your decision-making during the incident?

4.Tell me about a time when you brought together people with different backgrounds or expertise to solve a complex infrastructure problem. What perspectives did they bring and how did that change your approach?

5.Walk me through a time when you had to coordinate with multiple teams outside your immediate organization to deliver a critical infrastructure project. What were the biggest collaboration challenges and how did you overcome them?

6.Describe a time when you automated or improved a process that had significant impact beyond your immediate team. What was broken, what did you build, and how do you know it made a difference?

7.You're monitoring Azure App Service and notice a service's CPU utilization is spiking to 90% every Tuesday at 2 PM. Memory looks fine and no deployments happened. How would you investigate this pattern?

8.You need to automate the deployment of a new .NET microservice to Azure App Service that will integrate with Copilot's AI stack. The service needs to scale automatically and handle API keys securely. Walk me through your infrastructure-as-code approach.

9.Our GitHub Actions runners for the Microsoft 365 team are timing out during the build step that runs npm install. The timeout started happening after we added 50 new microservices to the monorepo. What's your approach to fixing this?

10.Write a PowerShell script that monitors Windows Update installations across a fleet of 10,000 Azure VMs and sends alerts when updates fail or require reboots during business hours.

11.Teams is experiencing intermittent connection failures during peak usage hours. You discover the issue is in the load balancer configuration between the front-end service and Cosmos DB. How do you investigate and resolve this without impacting millions of active users?

12.The Xbox Live authentication service is experiencing cascading failures during a major game launch. The primary symptom is that auth tokens are timing out, causing a domino effect across dependent services. You have 30 minutes to stabilize before the launch event. What's your incident response strategy?

13.You're tasked with building a configuration management system for Xbox Live that can push real-time game settings to millions of concurrent players without affecting gameplay performance. How do you design for both speed and consistency?

14.Design a log aggregation system for Azure that can collect and process diagnostic logs from millions of customer VMs while ensuring customer data isolation and meeting compliance requirements. How do you handle both the scale and security concerns?

15.You need to design a monitoring system for Microsoft 365 that can detect when any of our 400+ million users might be experiencing email delays. How do you build alerting that's sensitive enough to catch real issues but doesn't wake up engineers for normal variance?

16.GitHub Actions is seeing build queue times spike during peak hours when developers across all time zones are active. Design a global auto-scaling strategy that can handle the unpredictable workload while keeping costs reasonable for Microsoft.

17.Design a deployment pipeline for Windows Update that can safely push critical security patches to 1.4 billion Windows devices without taking down the internet. How do you handle the scale and ensure devices don't all update simultaneously?

18.Design a secret rotation system for Azure Key Vault that can automatically rotate API keys and certificates for services across Microsoft 365 without causing service interruptions. The system needs to handle thousands of services with different rotation requirements.

19.Tell me about a time when you had to change your technical approach based on feedback from someone less experienced than you. What did you learn from that experience?

20.Tell me about a time when you had to lead your team through a significant technical migration or platform change while maintaining service reliability for enterprise customers.

21.Describe a time when you had to convince a team outside your organization to change their deployment practices to support your service's reliability requirements. How did you approach that conversation?

22.Walk me through how you've built psychological safety in your team, especially when dealing with production incidents or post-mortems.

23.Tell me about the most challenging person you've had to work with in a technical leadership context. How did you navigate that relationship to achieve results?

24.Describe a time when you had to make a decision that would negatively impact your team in the short term but was right for Microsoft's customers in the long term. How did you handle that with your team?

25.Azure's storage services are seeing a 15% increase in P99 latency across West US 2. No deployments happened and infrastructure metrics look normal. How would you estimate the potential revenue impact if this persists for a week?

26.Estimate how many GitHub Actions minutes Microsoft internally consumes per month for all our open source projects like VS Code, TypeScript, and .NET. Walk me through your reasoning.

27.Microsoft 365's SharePoint service is consuming 40% more Azure Cosmos DB RUs than last month, but user activity metrics are flat. Your investigation budget is limited. How do you prioritize what to investigate first?

28.Xbox Game Pass is launching on a new platform and expecting 5x normal authentication traffic for the first week. The current auth service handles 100K requests per second at peak. Design your capacity planning approach for this launch.

29.LinkedIn's recommendation engine is processing 50% more data than usual, but the algorithm team says they haven't changed anything. The processing cost has increased proportionally. How do you determine if this is worth investigating immediately or can wait until next sprint?

30.Microsoft's Copilot usage has grown 300% in the last quarter. The inference costs are now 25% of Azure OpenAI's total compute budget. Estimate the monthly cost impact and recommend a framework for deciding which optimizations to prioritize.