Backend Engineer (Python, AI DevOps)

Home-Office ArgoCD Artificial Intelligence (AI) Backend Entwicklung Backup / Recovery Batch CI/CD (Continuous Integration/Delivery)

+15 Top, 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 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., We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs.

• 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.

Ways of Working

• Comfortable in agile, iterative delivery environments with ownership and accountability.
• Clear communicator and collaborator across global, cross-functional stakeholders.
• Proactive learner with pragmatic adoption of AI-assisted developer tools (for example GitHub Copilot, Claude Code) to improve developer experience and delivery.

Nice to Have

• MLOps exposure: model packaging/deployment patterns, batch vs real-time inference, feature pipelines, experiment tracking.
• Experience building internal libraries, platforms, or shared tooling used by multiple teams.
• Experience in regulated environments where auditability and secure-by-default delivery are essential

All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance. 90293 | Data & AI | Professional | Allianz Partners | Full-Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board. Let's care for tomorrow. Note: Diversity of minds is an integral part of Allianz' company culture. One means to achieve diverse teams is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company encourages its employees to have motivation in gaining varied skills from different positions and to collect experiences from across Allianz Group. Das sagen die Mitarbeitenden * Allianz in Deutschland Timo Müller IT-Traineeprogramm Teilnehmer Die Allianz in drei Worten: "Sicherheit - Vertrauen - Engagement.