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  • Emplois similaires à : Associate DevOps Engineer
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Cloud Infrastructure DevOps Engineer (DevOps Engineer ) - RemoteThe Dignify Solutions, LLC • United States
Postuler Maintenant
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Cloud Infrastructure DevOps Engineer (DevOps Engineer ) - Remote

The Dignify Solutions, LLC
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Job Title
Cloud Infrastructure Engineer Skills: Cloud Platforms: Strong hands-on experience with public cloud platforms (AWS, Azure, GCP), including core services such as virtual networking, compute, storage, IAM, serverless functions, and monitoring. Terraform: Deep hands-on experience developing, maintaining, and troubleshooting infrastructure-as-code using Terraform across multi-cloud environments. Ansible: Experience using Ansible to automate day-to-day operational tasks, including configuration management and troubleshooting of infrastructure resources. CI/CD & GitOps: Hands-on experience with GitLab CI and ArgoCD to design and maintain pipelines for automated testing, deployment, and infrastructure management using GitOps principles. Linux & Automation: Proficient in Linux system administration and automation using Python to streamline infrastructure management and operational tasks. Serverless Computing: Experience developing, deploying, and managing serverless functions using cloud-native services such as AWS Lambda, Azure Functions, and Google Cloud Functions. Minimum Qualifications: 8+ years of experience in cloud infrastructure, DevOps, or related engineering roles. Deep hands-on expertise with Terraform, Ansible, Kubernetes, GitLab CI, and ArgoCD in production environments. Strong understanding of cloud platforms (AWS, Azure, GCP) and their core services (compute, storage, networking, IAM, serverless functions). Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices. Proficient in Linux system administration and infrastructure automation using Python. Preferred Qualifications: Experience deploying and managing Kafka on Kubernetes, including performance tuning, scaling, and monitoring in a production environment.
  • United States

Compétences linguistiques

  • English
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