Talent.com
DevOps Engineer

DevOps Engineer

HANIselin, NJ
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Sr. DevOps Engineer CloudFormation and Terraform

Client Location : world trade center, NYC

months CH

Our Challenge :

We are seeking a highly experienced DevOps professional with a robust background in Azure DevOps and provisioning tools such as CloudFormation and Terraform . The ideal candidate will possess a DevOps mindset, demonstrating expertise in continuous integration and continuous deployment best practices.

The Role

Responsibilities :

  • Implement and manage CI / CD pipelines using Azure DevOps (both classic and YAML).
  • Maintain the Azure DevOps environment, including agents, projects, Git repositories, and service connections.
  • Create and manage Docker containers for application deployment.
  • Utilize CloudFormation or Terraform for provisioning resources in cloud environments .
  • Develop scripts and automate processes using coding skills (bash, PowerShell, Python, C, or other high-level languages).
  • Collaborate with development and operations teams to ensure smooth deployment and integration processes.
  • Monitor and optimize system performance and troubleshoot issues as they arise.

Must-Have Skills :

  • Extensive knowledge of continuous integration and continuous deployment best practices.
  • Minimum of years in DevOps / Cloud roles.
  • Hands-on experience in Azure DevOps build and release management ( both classic pipelines and YAML).
  • Practical experience in creating and managing Docker containers.
  • Proficiency in maintaining Azure DevOps environments.
  • Several years of hands-on experience with CloudFormation or Terraform.
  • Experience in creating pipelines for provisioning resources in the cloud.
  • Demonstrated coding abilities in bash, PowerShell, Python, C, or other high-level languages.
  • Proficiency in Git and other version control systems.
  • Highly Desired Skills :

  • Experience as a senior coder who has transitioned into a DevOps role.
  • Hands-on experience in creating pipelines to provision resources in AWS.
  • Familiarity with monitoring tools like Datadog, Prometheus, and Grafana.
  • Experience with container orchestration using Kubernetes.
  • Strong communication skills to effectively convey ideas and collaborate with teams.
  • Proven ability to work effectively with cross-functional teams.
  • Excellent problem-solving abilities to tackle challenges efficiently.
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