Key responsibilities As a Backend Engineer within Advanced Analytics (DA3) in the Chief Data & AI Office area at Allianz Partners, you will join our central AI team to build reusable AI foundations and production-grade AI services on a global scale. We are looking for an engineer with strong software engineering fundamentals and hands-on cloud and DevOps expertise to design, ship, and operate cloud-native systems that power AI-enabled solutions across the organization. You will work in a cross-functional environment with ML Engineers, Platform Engineers, AI Architects, and DevOps, taking end-to-end ownership from design through reliable operations. In this role, you will help establish consistent engineering standards for security, observability, and delivery, and you will contribute to scalable internal platforms and shared services that accelerate teams worldwide. As a Backend Engineer, you are in charge of the following responsibilities: Design, build, and maintain backend services and REST APIs powering AI-enabled solutions: clean interfaces, robust domain models, and maintainable data access patterns. Deliver cloud-native microservices using Docker and Kubernetes, with attention to scalability, resilience, and cost. Build and maintain CI/CD pipelines with automated tests, quality gates, and secure delivery practices. Integrate and standardize API exposure via gateway patterns, including usage policies, throttling, authentication/authorization, and versioning (Azure API Management where applicable). Establish and maintain observability standards using Azure Monitor and Application Insights (dashboards, alerting, distributed tracing, and runbooks). Diagnose and resolve complex issues across microservices, clusters, and pipelines; perform root-cause analysis and preventative improvements. Embed security and resilience: secrets management, least privilege, container security best practices, and disaster recovery patterns. Engineer for regulated en