Build and maintain scalable search infrastructure services and microservices that power search experiences across machine learning and platform teams. Design and operate high-throughput data pipelines that consume and produce to messaging queues (e.g. Kafka), integrating with chunking, embedding, and fine-grained access control services across the platform. Deliver deadline-sensitive work regularly that is interdependent with other engineering teams, including those owning embedding, chunking, and access control services. Drive reliability and operability improvements across the search platform, including index lifecycle management policies, capacity planning, and cluster scaling strategies. This is a highly collaborative, in-person role working cross-functionally with Core, ML, and Platform engineering teams to deliver robust, production-grade search capabilities.
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Job Type
Full-time
Career Level
Entry Level