1. Distributed Rate Limiter: Implement token bucket / sliding window algorithms in Go/Node.js backed by Redis clusters, handling 10k RPS. 2. Asynchronous Job Worker: Build a lightweight Celery/BullMQ clone with retries, exponential backoff, and dead-letter queues. 3. Real-Time Collaborative Engine: Build operational transformation or CRDT-based synchronization using WebSockets and PostgreSQL LISTEN/NOTIFY.
Get immediate feedback on repository READMEs, commit hygiene, code structure, and open-source proof-of-work.
Not necessarily. A clean CLI interface, comprehensive Swagger/OpenAPI docs, and a Postman collection are often more impressive to backend engineering managers.
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Craft a high-signal backend resume focusing on system throughput, concurrency, database schema design, and cloud architecture.
A milestone-based progression covering languages, relational vs document databases, API protocols, caching, message queues, and cloud deployment.
Folder organization, configuration segregation, automated linter/prettier configs, and meaningful unit test structures that signal maturity.