Job Summary
CTG Tracking ID-DELSI59
"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.
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"
Key Responsibilities
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.
Skill Requirements
Devops, Python, Telecom, Cloud technologies, Kubernetes
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"