تفاصيل العمل

- Built a matchmaking engine on Redis Streams and BullMQ consumer groups, enabling HTTP, Socket, and Worker

nodes to scale horizontally with no shared state

- Designed idempotent jobs with safe retries and consumer rebalancing, ensuring crashed workers recover without

duplicating matches or corrupting queue state

- Architected a two-phase scaling strategy using Redis Streams for early growth and Kafka with partitioned topics for

a projected 10M+ user global deploymen

بطاقة العمل

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