Senior GIS Engineer & Cloud-Native API Specialist

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.

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.
• 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.