Lead Cloud Platform Engineer: Kubernetes, AI & IaC

HCL Technologies Limited; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

HCL Technologies Limited in Madrid is seeking a Cloud Engineer with strong expertise in cloud-native tech, Kubernetes, and AI platform integrations. You will design, deploy, and operate scalable cloud environments supporting modern applications, AI workloads, and automation.

The role emphasizes design/management of multi-cloud infra, Kubernetes, IaC (Terraform), AI service integration, and CI/CD pipelines, plus security and cost optimization across platforms.

Formación

• Proven experience with Kubernetes and container technologies.
• Hands-on with cloud platforms (Azure, AWS, GCP).
• Strong IaC experience with Terraform.
• Experience integrating AI services and LLMs.
• Proficient in CI/CD and DevOps practices.
• Experience with observability tools like Prometheus/ Grafana.

Responsabilidades

• Design and manage cloud infrastructure on Azure, AWS, or GCP.
• Deploy and operate Kubernetes-based platforms and containerized applications.
• Implement Infrastructure as Code using Terraform, Bicep, CloudFormation.
• Integrate AI services, LLMs, and enterprise applications.
• Build and maintain orchestration workflows using Argo Workflows, Airflow, Kubeflow.
• Develop CI/CD pipelines and automate platform operations.
• Ensure platform security, reliability, monitoring, and cost optimization.

Conocimientos

Kubernetes

Docker & Container Technologies

Cloud Platforms

Infrastructure as Code

AI Integrations

Orchestration

DevOps & CI/CD

Observability

Programming/Scripting

Security

Descripción del empleo

HCL Technologies Limited in Madrid is seeking a Cloud Engineer with strong expertise in cloud-native tech, Kubernetes, and AI platform integrations. You will design, deploy, and operate scalable cloud environments supporting modern applications, AI workloads, and automation.

The role emphasizes design/management of multi-cloud infra, Kubernetes, IaC (Terraform), AI service integration, and CI/CD pipelines, plus security and cost optimization across platforms.