We are seeking a Senior Engineer with strong experience in search technologies such as Apache Solr, Elasticsearch, OpenSearch, or similar to design, build, and optimize scalable search solutions.

The role focuses on improving search performance, relevancy, and indexing pipelines in a cloud-based environment. This role includes ownership of search relevance across both traditional keyword-based and modern semantic (vector-based) retrieval.

Key Responsibilities
Design, build, and maintain search platforms.
Optimize search relevancy, ranking, and query performance.
Build and manage indexing pipelines for large datasets.
Deploy and operate services in a cloud environment (AWS).
Collaborate with cross-functional teams on search and recommendation features.
Explore and implement ML-driven enhancements for search.

Search & Relevance
Support and implement both keyword-based and semantic (vector-based) search capabilities
Work on vector-based search capabilities within the platform
Measure and improve search relevance using evaluation metrics and experimentation




Implement ranking optimization, including learning-to-rank (LTR)

Platform Operations
Support and evolve existing Solr-based production search system (SolrCloud), including scaling, sharding, and replication
Establish monitoring, SLOs, runbooks, and participate in incident response and root cause analysis
Work with containerized and cloud-native environments, including Kubernetes-based deployments and operations.
Contribute to CI/CD pipelines, deployment automation, and operational best practices for search services.

Required Skills
Strong experience with search technologies (Solr preffered, Elasticsearch, OpenSearch, or similar) with solid foundational understanding of search concepts and systems
Experience with AWS cloud services and modern deployment practices.
Hands-on experience with Kubernetes, containerized platforms, and CI/CD tooling is strongly preferred.

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📌 Senior Search Engineer (Ciudad de México)
🏢 Pyramid Consulting
📍 Ciudad de México