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Ownership and Project Delivery Questions

This topic assesses a candidate's ability to take ownership of problems and projects and to drive them through end to end delivery to measurable impact. Candidates should be prepared to describe concrete examples in which they defined goals and success metrics, scoped and decomposed work, prioritized features and trade offs, made timely decisions with incomplete information, and executed through implementation, launch, monitoring, and iteration. It covers bias for action and initiative such as identifying opportunities, removing blockers, escalating appropriately, and operating with autonomy or limited oversight. It also includes technical ownership and execution where candidates explain technical problem solving, architecture and implementation choices, incident response and remediation, and collaboration with engineering and product partners. Interviewers evaluate stakeholder management and cross functional coordination, risk identification and mitigation, timeline and resource management, progress tracking and reporting, metrics and impact measurement, accountability, and lessons learned when outcomes were imperfect. Examples may span documentation or process improvements, operational projects, medium sized feature work, and complex or embedded technical efforts.

HardTechnical
32 practiced
Design a cost-optimization program for cloud infrastructure owned by many product teams that must maintain SLOs. Include how to provide visibility (dashboards and reports), chargeback or showback mechanisms, automated rightsizing and autoscaling policies, recommendations for reserved instances vs on-demand, and guardrails to prevent cost-saving actions that degrade reliability.
MediumTechnical
32 practiced
You are given the following simplified schema:
services(service_id PK, name)events(service_id, ts timestamp, status varchar)
Status is 'ok' or 'error'. Write a SQL query to compute weekly uptime percentage per service for the last 12 weeks, handling missing data (treat missing periods as 100% if you have no evidence of errors, but explain your assumption). Show how you'd handle weeks with low sample counts.
HardSystem Design
28 practiced
Design an automation system that will remediate a class of runtime failures (for example: out-of-memory crashes) across many services without causing cascading restarts. Describe architecture, safe remediation patterns (throttling, progressive restart, isolate-and-fix), leader election for remediation, human-in-the-loop thresholds, testing strategy, and monitoring to verify remediation effectiveness.
HardTechnical
32 practiced
Propose an algorithm and sketch pseudocode to predict whether the current error budget burn rate will cause an SLO breach within the next 72 hours, given historical traffic and error-rate time series. Explain input features (traffic volume, error counts, seasonality), assumptions, how you compute confidence intervals, and how you'd validate predictions in production.
HardSystem Design
33 practiced
Design an SLO-driven, multi-region migration plan to move a stateful critical service to Kubernetes with zero planned downtime. Requirements: maintain global 99.99% monthly availability, preserve leader-election semantics and sticky sessions, avoid increasing replication lag beyond safe thresholds, and include rollback capabilities. Provide detailed phases, verification checks, instrumentation needs, and mitigation plans for common failure modes.

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