Senior DevOps Engineer: Cloud, CI/CD & IaC Expert

MACHINE LEARNING TECHNOLOGIES LLC

Raleigh (NC)

On-site

USD 100,000 - 142,000

Full time

34 hours ago
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Job summary

Machine Learning Technologies LLC in Raleigh, NC is seeking a DevOps Engineer to design, implement, and maintain automated infrastructure, deployment pipelines, and cloud environments. The ideal candidate will have strong experience with CI/CD automation, containerization, infrastructure as code, and cross-team collaboration to improve software delivery and reliability.

The role focuses on automating operations, enhancing scalability, and enabling seamless collaboration between development and

Qualifications

  • 6+ years in DevOps, SRE, or cloud roles in enterprise environments.
  • Hands-on with AWS/Azure/GCP cloud platforms.
  • Experience building and maintaining CI/CD pipelines.
  • Strong knowledge of Docker, Kubernetes, and container orchestration.
  • Proficient with IaC tools like Terraform and Ansible.
  • Solid Linux/Unix administration and scripting (Python, Bash, PowerShell).

Responsibilities

  • Design, implement, and maintain CI/CD pipelines for automated builds, testing, and deployments.
  • Manage and optimize cloud infrastructure across AWS, Azure, or GCP.
  • Build and maintain containerized apps using Docker and Kubernetes.
  • Automate provisioning and configuration management with Terraform and Ansible.
  • Implement blue-green, rolling, and canary deployment strategies.
  • Monitor performance, reliability, and availability of systems.
  • Troubleshoot infrastructure, deployment, networking, and production issues.
  • Establish centralized logging, monitoring, and observability.
  • Improve reliability, scalability, and operational efficiency.
  • Incorporate security practices into CI/CD and infrastructure workflows.
  • Automate repetitive tasks using Python, Bash, or PowerShell.
  • Collaborate across development, QA, cloud architecture, and security teams.
  • Maintain deployment procedures and operational standards.

Skills

CI/CD automation
Cloud platforms
Containerization
IaC tooling
Linux administration
Scripting

Education

Bachelor's degree in Computer Science / IT / Software Engineering
Master's degree preferred
Certifications in cloud/DevOps (advantage)

Tools

Docker
Kubernetes
Terraform
Ansible
GitHub Actions
Jenkins
Azure DevOps
Git
CI/CD tools

Job description

Machine Learning Technologies LLC in Raleigh, NC is seeking a DevOps Engineer to design, implement, and maintain automated infrastructure, deployment pipelines, and cloud environments. The ideal candidate will have strong experience with CI/CD automation, containerization, infrastructure as code, and cross-team collaboration to improve software delivery and reliability.

The role focuses on automating operations, enhancing scalability, and enabling seamless collaboration between development and

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