Platform Engineer

Allianz

Inconnu, France

3 days ago

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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 Artificial Intelligence Application Performance Management Microsoft Azure Computer Networks Continuous Integration Data Infrastructure DevOps Github Python (Programming Language) PostgreSQL Linux System Administration

+22 more

Networking Basics Performance Tuning Queueing Systems Role-Based Access Control Redis Cloud Services Prometheus Data Logging Scripting Cloud Platform System Cloud Monitoring Autoscaling Grafana Backend Kubernetes Bicep Machine Learning Operations Celery Virtual Agents Terraform Dynatrace Key Vault

Job description

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.

Requirements

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 (Ingress, network policies), 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: image scanning, runtime security, network policies, and least-privilege patterns.
Experience with observability stack: Prometheus, Grafana, centralized logging, and alerting configuration.
Familiarity with async task processing: Celery, Redis, or equivalent message queue patterns.
Strong Linux systems administration and networking fundamentals.
Operational mindset with strong troubleshooting skills across infrastructure layers.

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