DevOps Engineer

Precision Technologies

New York (NY)

Hybrid

USD 120,000 - 160,000

Full time

38 hours ago
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Job summary

Precision Technologies in the United States is seeking a DevOps/Cloud Engineer to design and maintain scalable CI/CD pipelines, and manage cloud infrastructure.

You will work with Docker, Kubernetes, IaC tools, and implement monitoring, logging, and alerting within an Agile environment, collaborating with developers, QA, and security teams.

Qualifications

  • Experience designing and maintaining CI/CD pipelines.
  • Experience with cloud platforms (AWS, Azure).
  • Proficiency with Terraform, CloudFormation, or similar IaC.
  • Experience with Docker and Kubernetes.
  • Strong scripting skills in Python or shell.
  • Experience with Git-based version control.
  • Ability to troubleshoot deployment and production issues.
  • Experience working in Agile/Scrum environments.

Responsibilities

  • Design, implement, and maintain scalable CI/CD pipelines.
  • Manage and automate cloud infrastructure.
  • Develop and maintain infrastructure as code.
  • Build and manage CI/CD pipelines.
  • Work with Docker and Kubernetes to deploy containerized apps.
  • Implement monitoring and alerting.
  • Automate infrastructure and deployments with scripting.
  • Collaborate with cross-functional teams in Agile/Scrum.

Job description

Location: United States – Onsite / Hybrid / Remote based on client requirements
Employment Type: Full-Time / Contract
Work Authorization: Any valid U.S. work authorization accepted except H-1B
Key Responsibilities:
  • Design, implement, and maintain scalable CI/CD pipelines to support application development and deployment.
  • Manage and automate cloud infrastructure using AWS, Azure, or other cloud platforms.
  • Develop and maintain infrastructure using Terraform, CloudFormation, or similar Infrastructure as Code tools.
  • Build and manage CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
  • Work with Docker and Kubernetes to deploy, manage, and scale containerized applications.
  • Implement monitoring, logging, and alerting using tools such as CloudWatch, Prometheus, Grafana, or ELK.
  • Automate infrastructure, deployments, and operational processes using Python, Shell scripting, or similar scripting languages.
  • Manage source code and version control using Git, GitHub, GitLab, or Bitbucket.
  • Troubleshoot deployment, infrastructure, networking, and production issues and support application teams.
  • Collaborate with developers, QA teams, security teams, and infrastructure teams in an Agile/Scrum environment.

All valid U.S. work authorization statuses are accepted except H-1B.

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