Senior Software Engineer - Search

Hinge Health•San Francisco, CA

17h•Hybrid

About The Position

This role exists to eliminate the frustration of patients searching for the right provider. The engineer will build the search infrastructure and entity resolution systems that power Hinge Select, an integration of digital and in-person MSK care. As an early team member, the engineer will architect geospatial search capabilities that help millions of people find the right care, fast. This role operates at the intersection of search infrastructure, data quality, and healthcare, where precision has a real patient impact.

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).

Nice To Haves

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.

Responsibilities

Audit 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 first search optimization—improving relevance tuning or query performance for a high-traffic lookup scenario.
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.
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, embodying our "Learn-it-all" principle by experimenting with novel approaches.