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High: remote role, popular backend title, metro reach and broad mandatory skillset increase competition.
High because Solr/Lucene search expertise and healthcare data focus limit cross-industry transferability.
High due to explicit 8+ years and mandatory Solr, Python and backend architecture expertise.
Own end-to-end data architecture and lifecycle for a healthcare data platform managing ~500 TB and ingesting ~50 GB daily.
Lead design and scaling of SolrCloud search architecture to support multiple data sources and high-volume indexing with low-latency search.
Develop scalable backend components primarily in Python, collaborate with Java/Spring services, and drive technical solutions from design through production deployment.
8+ years of professional experience.
Strong production-level experience in Python development.
Deep hands-on expertise with Apache Solr/Lucene at scale, preferably SolrCloud including sharding, routing, indexing, and query optimization.
Good working knowledge of Java and Spring; strong SQL and data-modeling skills.
Experienced in large-scale data platforms and distributed search infrastructure with high-volume indexing and search optimization.
Comfortable leading complex technical challenges autonomously within a small senior engineering team in a fast-moving, evolving environment.
Background or willingness to work with healthcare data (e.g., emergency medical records) and metadata-driven platform design is a plus.