Problem Solving Behaviors and Decision Making Questions
Covers the interpersonal and cognitive traits that shape how a candidate solves problems, including initiative, ownership, proactivity, resilience, creativity, continuous learning, and evaluating trade offs. Interviewers probe when a candidate takes initiative versus seeks help, how they balance speed versus quality, how they persist through setbacks, how they generate creative alternatives, and how they learn from outcomes. This topic assesses mindset, judgment, and the ability to make principled decisions under uncertainty.
HardTechnical
0 practiced
An outage exposed partial customer data. Legal, PR and Product disagree on messaging and timelines. As SRE lead, how do you coordinate technical remediation and forensics with legal obligations and public communications, while ensuring statements are accurate and avoid fragmented or premature messaging?
HardTechnical
0 practiced
You're redesigning observability for a large microservices platform. There is a tension between collecting high-cardinality logs/traces (needed for debugging) and ingestion/cost limits. Propose an observability architecture and policy: what to collect, sampling strategies, retention tiers, warm/cold storage, and how to ensure required signals for incident resolution remain available.
EasyBehavioral
0 practiced
Describe a time as an SRE when you proactively identified a reliability or performance problem before it impacted users. Explain how you discovered the issue (metrics, synthetic tests, or manual review), how you validated the problem, the short-term mitigations and long-term fixes you proposed, stakeholders you involved, and the measured outcome (metrics or customer impact). Include scale (QPS, users) and tools used where relevant.
MediumTechnical
0 practiced
Design a small chaos experiment for a stateful API to reduce the risk of cascading failures. Describe the hypothesis, blast-radius controls, rollback criteria, required monitoring/metrics, and how you would debrief the team and incorporate learnings into runbooks.
EasyBehavioral
0 practiced
Describe a situation where you weren't sure how to proceed on a reliability problem. How did you decide when to continue exploring independently versus escalate to teammates or managers? Explain your timeboxing, criteria for escalation, and how you documented findings for others.
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