SME - Kubernetes, Terraform
A hands-on Linux Cloud DevOps Engineer will design and automate secure services in Azure. You will manage infrastructure provisioning, CI/CD workflows, and configuration management.
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Key Responsibilities
Design and manage cloud infrastructure on Azure, AWS, or GCP.
Deploy and operate Kubernetes-based platforms and containerized applications.
Implement Infrastructure as Code (Terraform, Bicep, CloudFormation).
Integrate AI services, LLMs, and enterprise applications.
Build and maintain orchestration workflows using tools such as Argo Workflows, Airflow, or Kubeflow.
Develop CI/CD pipelines and automate platform operations.
Ensure platform security, reliability, monitoring, and cost optimization.
Required Skills
Kubernetes (AKS, EKS, GKE, OpenShift)
Docker & Container Technologies
Cloud Platforms: Azure, AWS, or GCP
Infrastructure as Code: Terraform
AI Integrations: OpenAI, Azure AI, AWS Bedrock, RAG architectures, vector databases
Orchestration: Argo Workflows, Airflow, Kubeflow, Temporal, Prefect
DevOps & CI/CD: GitHub Actions, Azure DevOps, Jenkins, ArgoCD
Observability: Prometheus, Grafana, OpenTelemetry
Programming/Scripting: Python, Bash
Security: IAM, Secrets Management, DevSecOps practices"
Required Skills
Kubernetes (AKS, EKS, GKE, OpenShift)
Docker & Container Technologies
Cloud Platforms: Azure, AWS, or GCP
Infrastructure as Code: Terraform
AI Integrations: OpenAI, Azure AI, AWS Bedrock, RAG architectures, vector databases
Orchestration: Argo Workflows, Airflow, Kubeflow, Temporal, Prefect
DevOps & CI/CD: GitHub Actions, Azure DevOps, Jenkins, ArgoCD
Observability: Prometheus, Grafana, OpenTelemetry
Programming/Scripting: Python, Bash
Security: IAM, Secrets Management, DevSecOps practices"
"Cloud Engineer (Cloud-Native & AI Platforms)
Role Overview
We are looking for a Cloud Engineer with strong expertise in cloud-native technologies, Kubernetes, and AI platform integrations. The successful candidate will design, deploy, and operate scalable cloud environments supporting modern applications, AI workloads, and automation platforms.
Key Responsibilities
Design and manage cloud infrastructure on Azure, AWS, or GCP.
Deploy and operate Kubernetes-based platforms and containerized applications.
Implement Infrastructure as Code (Terraform, Bicep, CloudFormation).
Integrate AI services, LLMs, and enterprise applications.
Build and maintain orchestration workflows using tools such as Argo Workflows, Airflow, or Kubeflow.
Develop CI/CD pipelines and automate platform operations.
Ensure platform security, reliability, monitoring, and cost optimization.
CTG Tracking ID-DELSI59
Devops, Python, Telecom, Cloud technologies, Kubernetes
HCLTech (HCL Technologies Limited) is an IT services company. Its official careers portal presents job opportunities across a wide international footprint, listing countries in the Americas, Europe, and Asia-Pacific among the locations candidates can search.
In Spain, HCLTech advertises a substantial number of open positions, including roles in Madrid. The current openings span technical support and operations, cloud and AI architecture, software engineering, identity and device management, program and project management, and sales, indicating an active delivery and commercial presence in the Spanish market.
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