Mastercard Platform interview questions

Three of the questions

1. Walk me through how you'd design an agentic workflow that integrates AI-powered capabilities into an existing engineering operations process. What does the agent own versus what stays human-in-the-loop, and how do you guard against the agent taking a wrong automated action in production?
   Technical depth · from the posting: “Design and implement agent-driven workflows and intelligent automation solutions. Integrate AI powered capabilities into engineering and operational processes. Establish best practices for responsible AI adoption within software delivery lifecycles.”
2. It's peak transaction time and your CI/CD pipeline just deployed a change to the payment switching service. Latency on the switching path has spiked and some transactions are timing out. Walk me through how you troubleshoot this live.
   Scenarios & troubleshooting · from the posting: “Ensure quality across the full stack via rigorous CI/CD practices in all aspects of the SDLC (Builds, Test, and Deploy).”
3. Tell me about a time you had to modernize or refactor a critical piece of infrastructure or codebase. What was your approach, and how did you manage the risk?
   Behavioural · from the posting: “Drive modernization, automation, and platform engineering initiatives”