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vector search indexing ranking large-scale distributed systems keyword searchπ Description
- Drive architecture and evolution of the Search product for scalable, low-latency retrieval.
- Solve indexing, storage, query execution, and ranking with vector, keyword, and hybrid techniques.
- Partner with infra, product, and research teams to shape APIs and developer experiences.
- Lead end-to-end engineering from design to production rollout with high performance and reliability.
- Contribute to core systems powering search, discovery, and recommendations.
- Mentor engineers and champion engineering excellence through reviews and collaboration.
π― Requirements
- 10+ years of experience building and operating large-scale distributed systems.
- Deep expertise in Search technologies (vector, keyword, hybrid) and related domains (indexing, ranking, retrieval infrastructure, relevance optimization).
- Familiarity with storage systems, recommendation engines, and database internals.
- Strong foundation in algorithms, data structures, and system design for large-scale retrieval and data systems.
- Experience leading architecture for performance-sensitive, large-scale systems.
- Strong communication skills and ability to collaborate across teams.
π Benefits
- Comprehensive benefits and perks.
- Inclusive, diverse culture and equal opportunity.
- Opportunities for mentorship and career growth.
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