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Job Application Form:

Senior Software Developer - Backend / Rust / Systems Engineering

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Technical Screening Questions

Please answer with real project examples. Generic or theoretical answers will not be considered.

Click the ⓘ icon beside each question to see what information we expect you to cover in your answer.

Include project objective, team size, your exact role, approximate users/requests handled, biggest technical challenge, production issue faced, and how you solved it.
Include years of experience, commercial projects, frameworks used such as Axum/Actix/Rocket, async runtime such as Tokio, important crates used, ownership/borrow checker challenges, and performance improvements achieved.
Include how tasks were handled, shared state, synchronization, channels, error handling, bottlenecks, and lessons learned.
Include number of APIs, authentication, retries, timeout handling, rate limiting, error handling, logging, monitoring, and the biggest issue you faced.
Explain service flow, communication method, execution order, failure handling, idempotency, logging, and monitoring.
Include business problem, technologies used, input formats, processing stages, validation, accuracy improvements, failure handling, and performance challenges. If you have not built one, explain how you would design it.
Include providers/tools used, prompt strategy, structured output handling, validation, retries, rate limits, cost control, and reliability/accuracy safeguards.
Include search engine used, approximate indexed records, index design, ranking, filtering, synonyms, query optimization, and scaling challenges.
Include input source, processing stages, throughput, background jobs, queueing, failure recovery, and monitoring.
Include number of tables, relationships, indexing strategy, transactions, query optimization, and performance improvements.
Explain the original issue, investigation method, optimization performed, and before/after improvement. Add the query if possible.
Include queue/message broker used, producer, consumers, retry strategy, dead-letter queue, duplicate prevention, monitoring, and failure handling.
Include containers, Docker Compose/Kubernetes, networking, volumes, environment variables, CI/CD, deployment, and one issue you resolved.
Mention commands, logs, metrics, services, disk/CPU/RAM/network checks, and the order in which you would investigate.
Include original bottleneck, profiling tools, change made, trade-offs, and before/after metrics.
Cover validation, file type checks, malware scanning, storage, permissions, size limits, access control, audit logs, and safe processing.
Include build pipeline, tests, secrets, environment handling, deployment method, rollback strategy, logs, and monitoring.
Explain components, communication, database, queues, search, cache, failure recovery, security, observability, deployment, and why you chose those technologies.