Lead Search Engineer: Semantic OpenSearch Hybrid

Cacheflow

Austin (TX)

Hybrid

USD 163,000 - 244,000

Full time

14 days+

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Job summary

Commerce is seeking a Lead Software Engineer, Search in Austin to pioneer the next evolution of our search infrastructure. You will architect and scale semantic search via a hybrid OpenSearch-based system, blending BM25 with vector embeddings and dense/sparse retrieval across the Commerce ecosystem.

You will lead the Search team, shaping the technical roadmap, tuning relevance, and ensuring ultra-low latency and high availability under massive concurrent traffic.

Qualifications

  • 7+ years of professional software development experience with leadership capabilities.
  • Deep hands-on OpenSearch/Elasticsearch experience at scale.
  • Experience implementing semantic and hybrid search with vector embeddings.
  • Strong backend fundamentals in Go, Scala, or Java (experience with PHP is a plus).
  • Experience with relational databases (MySQL) and distributed messaging (Kafka/RabbitMQ).

Responsibilities

  • Architect semantic search capabilities using OpenSearch to build a robust hybrid search (BM25 + vector).
  • Iterate, benchmark, and fine-tune relevance, ranking models, and neural search configurations.
  • Own data ingestion and indexing pipelines with MySQL, Kafka/RabbitMQ, and microservices for dense vector ingestion.
  • Provide technical leadership and mentor engineers on complex architectural decisions.
  • Ensure ultra-low latency, high-availability search platform and participate in on-call rotation.

Skills

OpenSearch
Semantic search
Backend development
Distributed systems
Hybrid search

Tools

Docker
Kubernetes
MySQL
OpenSearch
Kafka
RabbitMQ

Job description

Commerce is seeking a Lead Software Engineer, Search in Austin to pioneer the next evolution of our search infrastructure. You will architect and scale semantic search via a hybrid OpenSearch-based system, blending BM25 with vector embeddings and dense/sparse retrieval across the Commerce ecosystem.

You will lead the Search team, shaping the technical roadmap, tuning relevance, and ensuring ultra-low latency and high availability under massive concurrent traffic.

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