Senior Software Engineer - Search
About the role
This role exists to eliminate the frustration of waiting weeks for an appointment only to discover a provider cannot help you. You'll build the search infrastructure and entity resolution systems that power Hinge Select—our integration of digital and in-person MSK care.
Responsibilities
- 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
- 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
Requirements
- At least 3-4 years of full-time software development experience building production systems at scale
- Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field
- 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
Qualifications
- Basic Requirements:
- Experience with AI technologies to automate entity matching and improve search personalization
- Experience with spatial indexing libraries (PostGIS, H3, S2 geometry, Solr spatial)
- Experience with workflow orchestration systems (Temporal, Airflow, Step Functions) for data pipelines
- Experience in healthcare technology or regulated environments
- Experience with AI technologies to automate entity matching and improve search personalization
Skills
- Strong understanding of geospatial search (geo_point/geo_shape types, distance-based queries, bounding box filters)
- Strong understanding of entity resolution (matching, merging, and deduplicating records across disparate data sources)
- Proficiency in modern backend languages (Golang, Python, Java, or similar)
- Experience with Elasticsearch or OpenSearch
- Experience with spatial indexing libraries (PostGIS, H3, S2 geometry, Solr spatial)
- Experience with workflow orchestration systems (Temporal, Airflow, Step Functions) for data pipelines
- Experience in healthcare technology or regulated environments
- Experience with AI technologies to automate entity matching and improve search personalization
Benefits
Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn't available where you live.
Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
Modern life stipends: Manage your own learning and development with stipends to support your growth.
Culture & Engagement: Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.