Covers practical and architectural skills for writing production safe automation and operational scripts as well as building reusable automation systems. Topics include designing idempotent automation, safe retries, robust error handling, structured logging and observability, argument parsing and command line interface design, configuration management, and secure credential handling. Emphasis on testing and validation of scripts and automation code, packaging, documentation, deployment, and maintainability so automation can be operated by other team members. Includes integration with schedulers such as cron and systemd timers, continuous integration and continuous delivery pipelines, orchestration and configuration management systems, and common operational patterns such as log processing, backups, polling, multi step orchestration, provisioning, configuration changes, and routine maintenance. Also assesses language selection and trade offs among Python, Go, Bash and other tooling, concurrency and performance considerations, and at senior levels the design and architecture of reusable automation frameworks and strategies for scaling automation to reduce toil.
HardSystem Design
69 practiced
Design a testing harness and staged promotion pipeline for validating automation scripts before they run in production. Include unit tests, integration tests using ephemeral infrastructure in CI, chaos tests, canary runs in production, policy checks, and staged promotion gating. Explain how to create reliable ephemeral test environments and how to keep tests fast and deterministic.
MediumTechnical
71 practiced
You are asked to choose a primary language for building a company-wide reusable automation framework. Compare Python, Go, and Bash across safety, contributor familiarity, packaging and distribution, static analysis tools, concurrency primitives, binary size, and onboarding cost. Make a recommendation and provide a migration plan from existing ad-hoc scripts.
HardTechnical
117 practiced
Design automation for backup and restore of petabyte-scale datasets: discuss chunking strategy, parallel upload/download, streaming vs snapshot, checksums and integrity verification, throttling to avoid saturating networks, lifecycle policies for retention, and automated restore orchestration to meet RTO. Explain how you'd instrument and test this at scale.
HardSystem Design
85 practiced
Design a GitOps-based workflow for operational automation code and runbooks where changes are made via pull requests, automatically validated and promoted between environments, subject to policy checks (e.g., OPA) and RBAC, and with a documented emergency bypass path. Explain how to handle secrets, implement dry-run validation, manage approvals for production, and ensure reproducible deployments.
EasyTechnical
69 practiced
As a DevOps Engineer, explain what idempotent automation means for operational scripts and small automation tools. Describe at least three concrete patterns to make scripts idempotent (for example, check-and-create, use-state-markers, and transaction-style updates). For two real operations — package installation and user account creation — give short pseudo-code examples and list common pitfalls that break idempotency (race conditions, partial failures, destructive cleanup).
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