AI Platform Engineer: Kubernetes, Cloud & Automation

Allianz Partners; Madrid; On-site; EUR 70,000 - 110,000; Full time

Job summary

Allianz Partners seeks a Platform Engineer within Advanced Analytics to build and operate cloud infrastructure powering AI-enabled solutions at global scale. You will own the Kubernetes platform, implement automation, and ensure reliability and security across AKS clusters, CI/CD pipelines, and cloud resources.

Collaborating with Backend, ML, and Platform Architects, you will translate architecture into production-ready infrastructure, with a focus on reducing manual toil and increasing system

Qualifications

• 5+ years professional experience in platform engineering, SRE, or DevOps roles; experience supporting AI/ML workloads is a strong plus.
• Strong Kubernetes experience: cluster operations, networking, storage, autoscaling, and troubleshooting.
• Solid Infrastructure as Code experience with Terraform, Bicep, or equivalent tools.
• Production experience with Azure cloud services: AKS, ACR, Key Vault, Azure Monitor, Virtual Networks, Private Endpoints, and Azure Policy.
• Strong CI/CD experience: GitHub Actions (self-hosted runners, reusable workflows), ArgoCD, or similar GitOps tooling.
• Proficiency in Python for automation, scripting, and tooling.
• Experience with container security and observability stacks (Prometheus, Grafana).
• Familiarity with async task processing and distributed systems.
• Strong Linux systems administration and networking fundamentals.
• Operational mindset with troubleshooting across infrastructure layers.

Responsibilities

• 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 security standards, Key Vault integration, RBAC, and private endpoint configurations.
• Support database infrastructure: PostgreSQL management, backup/recovery, connection pooling, and performance tuning.
• Create self-service tooling and templates that enable development teams to deploy and operate services with minimal friction.
• Diagnose and resolve infrastructure issues across clusters, pipelines, and cloud services; perform root-cause analysis and implement preventative improvements.
• Collaborate with Platform Architects, Backend Engineers, and ML Engineers to translate architecture designs into reliable infrastructure.

Skills

Kubernetes

Terraform/Bicep

Azure cloud

GitHub Actions

ArgoCD

Python

Linux

Networking

Observability

Security

Tools

AKS

ACR

Key Vault

Azure Monitor

Grafana

Prometheus

ArgoCD

GitHub Actions

Terraform

Bicep

Job description

Allianz Partners seeks a Platform Engineer within Advanced Analytics to build and operate cloud infrastructure powering AI-enabled solutions at global scale. You will own the Kubernetes platform, implement automation, and ensure reliability and security across AKS clusters, CI/CD pipelines, and cloud resources.

Collaborating with Backend, ML, and Platform Architects, you will translate architecture into production-ready infrastructure, with a focus on reducing manual toil and increasing system