Senior Software Engineer - Search

What You'll Accomplish

In your first 3 months:

• Audit our current provider and facility discovery architecture, identifying gaps in geospatial search precision and entity resolution accuracy
• Build relationships with product, design, and data engineering teams to understand upstream data sources and downstream user needs
• Deliver your first search optimization—improving relevance tuning or query performance for a high-traffic lookup scenario

In your first 6 months:

• Design and launch geospatial search capabilities using Elasticsearch/OpenSearch (radius, bounding-box, polygon-based queries) that scale to millions of records
• Extend entity resolution pipelines to deduplicate and reconcile provider data across multiple upstream sources, reducing duplicate records by 30%+
• Own the async data ingestion pipeline for a critical data source, ensuring search indexes stay fresh and accurate

In your first year:

• Act as the code repository maintainer for the search and knowledge graph services, setting technical standards and mentoring junior engineers
• Drive technical strategy for the team, balancing tradeoffs between search relevance, latency, and infrastructure cost
• Integrate AI technologies to automate entity matching and improve search personalization

Basic Requirements

• 5+ years of full-time software development experience building production systems at scale
• 3+ years of hands-on experience with Elasticsearch or OpenSearch, including index design, mapping configuration, query DSL, and relevance tuning
• Strong understanding of geospatial search (geo_point/geo_shape types, distance-based queries, bounding box filters) and entity resolution (matching, merging, and deduplicating records across disparate data sources)
• Proficiency in modern backend languages (Golang, Python, Java, or similar) and cloud-based services (gRPC, Docker/Kubernetes, AWS)

Preferred Requirements

• Experience building search-driven discovery products (provider directories, marketplace search, location finders)
• Familiarity with healthcare data standards (NPI, FHIR) and identifiers
• Experience with spatial indexing libraries (PostGIS, H3, S2 geometry, Solr spatial)
• Background in record linkage and fuzzy matching techniques (Jaro-Winkler, Levenshtein, probabilistic matching)
• Experience with workflow orchestration systems (Temporal, Airflow, Step Functions) for data pipelines
• Exposure to gRPC service architectures and distributed systems
• Experience in healthcare technology or regulated environments
• AI technology experience for software design and coding
• Mentoring or onboarding junior engineers