API Developer
Posted 7 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Our opportunity
API & Model Serving DeveloperAre you a motivated, hands-on, and innovative person interested in working for one of the largest global insurers? Are you excited by building high-performance APIs and serving real-time calculations that drive critical risk decisions? Then this role is definitely something for you. We are looking for an API & Model Serving Developer to join the newly formed Risk Accumulation Management Platform (RAMP) team.
The position is planned as a 1‑year assignment for now.
Your role
As an API & Model Serving Developer**, your main responsibilities will involve:**
- Design, build, and deploy high-performance catastrophe modelling calculations exposed as APIs using Databricks Model Serving technology.
- Develop geospatial lookup APIs for risk classification, distance measurements, geocoding, etc.
- Implement and optimize real-time and near-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 and provide backup to the Data Engineer on the team, ensuring no key-person dependencies exist across the platform.
- Work in close collaboration with the wider technology and business teams to deliver excellent user experience.
Your Skills and Experience
As an API & Model Serving Developer**,** your skills and experience will ideally include:
- Strong experience with Python (preferably with Pandas, NumPy, and 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, proximity calculations).
- Familiarity with software development best practices (Git, CI/CD, DevOps, automated testing).
- Strong problem-solving skills and a performance-optimization mindset.