API Developer
Hybrid · Bratislava, Bratislava Region, Slovakia
Job Summary
API & Model Serving Developer to design, build, and deploy high-performance catastrophe modelling calculations exposed as APIs using Databricks Model Serving; develop geospatial lookup APIs for risk classification, distance measurements, geocoding, etc.; implement and optimize real-time serving endpoints using Databricks Feature Serving for low-latency risk data retrieval; ensure API performance, reliability, and scalability through automated health monitoring, load testing, and alerting; design API contracts and integration patterns for downstream consumers such as accumulation dashboards, underwriting tools, and reporting systems; collaborate with the Data Engineer and broader teams to deliver excellent user experience; required skills include Python with data-science libraries, Databricks Model Serving/Feature Serving, RESTful API design, SQL, geospatial concepts, Git/CI/CD/DevOps, and strong communication in English; nice-to-have items include catastrophe modelling concepts, Azure services, MLFlow, .NET, Delta Lake, and prior insurance/financial services experience.
Required Qualifications
- Strong experience with Python (Pandas, NumPy, geospatial libraries such as GeoPandas, Shapely, or H3)
- Hands-on experience with Databricks, particularly Model Serving and/or Feature Serving
- Experience designing and building RESTful APIs with a focus on performance and scalability
- Familiarity with SQL and working with structured data in Lakehouse or data warehouse environments
- Understanding of geospatial concepts (coordinate systems, geocoding, spatial indexing)
- Familiarity with software development best practices (Git, CI/CD, DevOps, automated testing)
- Strong problem-solving skills and a performance-optimization mindset
- Excellent written and spoken English
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