Key Responsibilities

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As a Platform Engineer within Advanced Analytics (DA3) in the Chief Data & AI Office area at Allianz Partners, you will join our central AI team to build and operate the cloud infrastructure that powers AI-enabled solutions at general scale.

We are looking for an engineer with deep Kubernetes and cloud expertise to implement, automate, and maintain the platform foundations that enable teams to deploy and operate AI services reliably.

You will work in a cross-functional environment with Backend Engineers, ML Engineers, AI Architects, and Platform Architects, taking hands‑on ownership of the infrastructure layer, from Kubernetes clusters and CI/CD pipelines to observability systems and security controls.

In this role, you will translate platform architecture into working infrastructure, reduce operational toil through automation, and ensure production systems meet reliability and security standards.

Through this role,



you will have the main following responsibilities:

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- Implement and operate Kubernetes infrastructure (AKS): cluster lifecycle, networking, resource management, auto‑scaling, and multi‑tenancy patterns.
- Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD for automated testing, container builds, and GitOps deployments.
- Develop Infrastructure as Code (Terraform, Bicep) to provision and manage Azure resources with consistency and auditability.
- Operate container registries (ACR), artifact management, and image security scanning workflows.
- Implement and maintain observability infrastructure: Azure Monitor, Application Insights, Prometheus, Grafana—including dashboards, alerting, and distributed tracing.
- Manage async processing infrastructure: Celery workers, Redis queues, and workflow orchestration patterns supporting AI agent execution.
- Implement platform security controls: network policies, pod secu

📌 Platform Engineer (Madrid)
🏢 Allianz Partners
📍 Madrid