Backend Engineer (Senior) (m/f/d), Saint-Ouen

Die Allianz Gruppe gehört zu den größten und renommiertesten Finanzdienstleistern der Welt und bietet ein internationales Netzwerk bekannter Marken mit erstklassigen Produkten. Vor allem streben wir nach Spitzenleistungen in unserem Alltag - das heißt, in den Beziehungen zu unseren Kunden, unseren Aktionären, unseren Mitarbeitern und zur Gesellschaft. Die Allianz Gruppe ist für über 76 Millionen Kunden in rund 70 Ländern tätig.

Als verlässlicher Partner verwaltet Allianz Global Investors Vermögen in allen wesentlichen Anlage-klassen und -regionen. Unsere Experten sind in 19 Märkten weltweit vertreten, mit umfassender Prä-senz in Europa, den USA und in Asien. Mit rund 650 Anlagespezialisten deckt unser Investment-Ma-nagement alle wichtigen Finanz- und Wachstumsmärkte der Welt ab. Erstklassiger Service vor Ort sorgt dafür, dass die globale Expertise beim Kunden ankommt.

Tasks

• 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 environments: implement audit-friendly practices such as traceable changes, reliable logging, and disciplined handling of sensitive data (minimization, access controls, retention).
• Collaborate with ML Engineers, Platform Engineers, AI Architects, and DevOps to deliver shared foundations and consistent standards across global teams.

Profile

• 5+ years professional backend engineering experience; MLOps or AI platform experience is a strong plus.
• Expert-level Python; ideally FastAPI, Pydantic, SQLAlchemy (or equivalent frameworks).
• Strong engineering fundamentals: testing strategies, REST API versioning, documentation, code quality, and pragmatic system design.
• Production experience with Docker and Kubernetes.
• Strong CI/CD experience (GitHub Actions preferred; ArgoCD or similar also relevant).
• Familiarity with Azure cloud platforms and services, particularly AKS, ACR, Key Vault, Azure Monitor/Application Insights, and Azure API Management (APIM).
• Strong experience with PostgreSQL including schema design, migrations, and performance tuning fundamentals.
• Familiarity with distributed systems and event-driven architectures using Kafka.
• Strong troubleshooting skills and an operational mindset.