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Azure Platform Engineer-100% Remote

Roles & Responsibilities

  • Hands-on experience with Azure ARM templates
  • Hands-on experience with Terraform
  • Experience building and managing Kubernetes clusters
  • Proficiency in scripting languages (e.g., Python) and automation for IaC and CI/CD pipelines

Requirements:

  • Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments
  • Implement and manage Kubernetes clusters for containerized applications
  • Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability
  • Develop and maintain infrastructure as code scripts to automate provisioning and configuration of resources

Job description


Azure Platform engineer
Location: 100% Remote
Duration: 10 Months
Rate: DOE

JD:
  • Hands on experience with Azure ARM templates
  • Hands on experience with Terraform
  • Experience to build Kubernetes cluster
  • Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
  • Implement and manage Kubernetes clusters for containerized applications.
  • Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.
  • Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
  • Ensure version-controlled, repeatable deployments using IaC best practices.
  • Leverage scripting languages (e.g Python) to automate routine tasks and streamline workflows.
  • Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
  • Ensure seamless integration of infrastructure components with CI/CD pipelines.
  • Design, deploy, and maintain scalable and reliable infrastructure for AI/Client platforms.
  • Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/Client applications.
  • Ensure containerized applications are secure, scalable, and easily deployable.
  • Enable seamless integration of AI/Client models into the platform, ensuring data pipelines are efficient and reliable.
  • Establish monitoring and alerting systems to ensure the health and performance of AI/Client platforms.
  • Implement security best practices for AI/Client platforms, ensuring data privacy and compliance with industry standards
  • Experience to take KT from offshore

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