Backend Engineer

Allianz

Saint-Ouen-sur-Seine, France

22 days ago

Apply on careers.allianz.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

careers.allianz.com

Tech stack

Kubernetes Security Application Programming Interfaces (APIs) Artificial Intelligence Application Performance Management Microsoft Azure Software Quality Continuous Integration DevOps Disaster Recovery Distributed Systems Github Python (Programming Language)

+19 more

Key Management PostgreSQL Performance Tuning Role-Based Access Control SQLAlchemy Strategies of Testing Management of Software Versions Data Logging Fastapi Event Driven Architecture AI Platforms Apache Kafka Machine Learning Operations Restful APIs Dynatrace Api Management Docker Key Vault Microservices

Job description

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.

Requirements

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.