Job Description

Sr. DevOps Engineer CloudFormation and Terraform

Client Location: 1 world trade center, NYC (onsite)
Duration: 6 months CTH
Position type: W2 contract.

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 minimum 10 years of 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 10 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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