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Systems and Infrastructure Experience Questions

Describe and analyze your hands on experience designing, operating, and maintaining infrastructure and systems. Candidates should be prepared with three to four concrete examples of systems or infrastructure projects they directly contributed to, including quantitative scale metrics such as user counts, requests per second, data volumes, throughput, and geographic distribution. Discuss architecture decisions and trade offs, component choices, platform boundaries, and how the design met requirements for scalability, reliability, performance, and security. Cover operational aspects such as deployments, configuration management, automation and infrastructure as code, monitoring and observability, incident response and remediation, capacity planning, and disaster recovery and business continuity. Include experience with large scale and multi region deployments, data center operations, networking at scale, and integration points. Also cover enterprise information technology topics where relevant, for example servers and endpoints, storage systems, networking hardware, identity and access infrastructure such as Active Directory, firewalls, routers and switches, and the differences and migration considerations between on premise and cloud infrastructure. Be ready to explain specific challenges faced, how issues were diagnosed and resolved, trade offs made, and the candidate's exact role and contributions.

HardTechnical
35 practiced
During a peak event services A→B→C cascade, CPU spikes and latencies rise but root cause is unclear. Describe a systematic triage plan: which observability signals you would correlate (metrics, traces, logs), instrumentation or tagging you'd add to reconstruct causal chains, temporal correlation techniques, and how to present findings and mitigations in a postmortem.
EasyTechnical
66 practiced
Write a bash script (or clear pseudo-code) that runs daily to rotate application logs, compress rotated files, upload archives to Amazon S3, and enforce a 30-day retention policy in S3. Specify assumptions, idempotency considerations, retries for transient failures, and how to verify success.
EasyTechnical
41 practiced
Describe the differences between metrics, logs, and traces in an observability stack. Give two concrete examples of each (tool + data point), explain retention and cardinality trade-offs, and describe which of the three you would consult first for diagnosing a sudden high-latency user request.
HardTechnical
41 practiced
Design an identity and access infrastructure for millions of end-users and thousands of internal services. Include SSO and federation (SAML/OIDC) for users, service-to-service auth (mutual TLS or token-based), ephemeral credentials and secrets rotation, key management, audit logging, and scaling considerations. Discuss onboarding automation and compliance controls.
MediumTechnical
33 practiced
Compare eventual, strong, and causal consistency models. For each of these three services — a shopping cart, a social feed, and a payment ledger — recommend a consistency model and justify architectural choices (replication technique, read-your-writes guarantees), including the latency and availability trade-offs.

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