About the project: Key priorities include the full productization and automation of the Privatschutz (PSGEO) solution (Germany-specific Quote&Buy journey enablement), tighter identity and access management, migration of code to cloud-native Golang, and the integration of Kafka streaming to boost real-time performance. In addition, the team will deliver API upgrades (including vendor integration and performance tuning), custom monitoring via Dynatrace, and dedicated R&D initiatives to stay ahead of evolving business needs. Specialized contractors will support this transformation with expertise in API development, multi-tenancy evolution, GIS tool integration, secure architecture design, script optimization, and cost efficiency measures. Together, these initiatives will deliver a modern, secure, and scalable GIS platform that supports Allianz Groups 2026 requirements and beyond. Primary Skills: Python API, Golang, Azure, Here/Google GIS) Secondary: GIS Integrations, Azure Key Responsibilities Code Unification & Cleanup Migrate Azure functions and scripts from Python to Golang for improved performance and maintainability. Eliminate redundant resources and streamline pipelines to drive efficiency and cost savings. Kafka Integration Real-Time Streaming Integrate Kafka services into GIS APIs (transactional and batch). Deliver scalable, on-demand streaming capabilities to enhance API responsiveness and throughput. API Enhancements Geocoding: Implement vendor-driven updates and integrate new providers into a standardized global Azure function. Geoenrichment: Optimize processing speed and resilience under high load for both batch and transactional APIs. Ensure minimal customer impact while maintaining cutting-edge geospatial capabilities. Architecture & Operational Improvements Develop APIs aligned with Allianz CISL standards on Azure. Advance multi-tenancy to support OE portfolio-based accumulation. Integrate new GIS tools and vendor APIs (e.g., Esri, HERE, Azure). Design architecture compliant with Allianz Group security standards. Simplify scripts for performance optimization. Drive cost efficiency through driver assessment and resource optimization Qualifications: Proven experience in Python, Golang, Azure Functions, and Kafka. Strong background in GIS technologies, including geocoding and geoenrichment. Familiarity with Esri, HERE, Google and other geospatial APIs. Experience with enterprise architecture, especially in regulated environments. Excellent problem-solving and communication skills.
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