Platform Architecture for Organizational Scale Questions

Designing internal platforms and infrastructure to support large engineering organizations and evolving teams. Topics include developer experience and self service platform design, deployment platforms that enable safe frequent releases for hundreds of engineers, platform automation and observability patterns that provide cross service visibility, governance and operational policies, service onboarding and lifecycle, and how to evolve platform capabilities as headcount and service count grows. Candidates should discuss trade offs between centralized platform services and team autonomy, metrics for platform health, and approaches to encourage adoption while minimizing operational friction.

MediumTechnical

0 practiced

Explain the difference between 'multi-cloud' and 'multi-region' strategies in platform architecture. For a mid-size company scaling internationally, which should be prioritized first and why? Discuss factors like latency, regulatory requirements, operational complexity, and vendor lock-in.

MediumTechnical

0 practiced

Propose an alerting strategy to reduce alert fatigue while ensuring platform-level incidents are detected early across hundreds of services. Define alert severity levels, ownership rules, routing strategy, and suppression/throttling rules, and describe how you would test the effectiveness of this strategy.

HardTechnical

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You're leading a platform team that must sunset a legacy platform feature used by 25% of services. Craft a detailed deprecation plan: timeline, migration tooling, incentives to migrate, rollback options, KPIs and metrics to determine completion, and the approach for handling teams that miss the deadline.

EasyTechnical

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List three governance policies you would implement on an internal platform to balance safety and developer velocity (for example: resource quotas, mandatory template usage, automated policy checks). For each policy, explain the enforcement mechanism and how you'd keep it lightweight to avoid blocking teams.

HardTechnical

0 practiced

Architect a plan to reduce monthly cloud spend by 30% while maintaining 99.95% availability for critical services. List technical levers (autoscaling, instance families, storage tiers), organizational levers (budgets, chargeback), and a measurement plan with required guardrails and rollback criteria if availability degrades.

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