Senior DevOps Engineer - Cloud, CI/CD & Automation

Abundant Code; Raleigh (NC); On-site; USD 100,000 - 142,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a DevOps Engineer in Raleigh, NC to design, implement, and maintain automated infrastructure and deployment pipelines. The role emphasizes cloud environments, containerization, IaC, and secure, scalable operations.

The candidate will optimize CI/CD processes, enable seamless collaboration between development and operations, and improve system reliability in a 12-month engagement with flexible client work arrangements.

Qualifications

• Experience with CI/CD automation across cloud environments.
• Proficiency with containerization and orchestration (Docker/Kubernetes).
• Proficient in IaC tools (Terraform, Ansible, CloudFormation).
• Solid Linux/Unix administration and scripting skills.

Responsibilities

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

Education

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field

Master’s degree in Computer Science, Cloud Computing, or Information Systems is preferred

Relevant certifications such as AWS Certified DevOps Engineer – Professional, Microsoft Certified: DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or HashiCorp Certified: Terraform Associate are an advantage

6+ years of DevOps/Cloud/SRE experience would be typical for this role

Tools

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Ansible

CloudFormation

ARM/Bicep

Git

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a DevOps Engineer in Raleigh, NC to design, implement, and maintain automated infrastructure and deployment pipelines. The role emphasizes cloud environments, containerization, IaC, and secure, scalable operations.

The candidate will optimize CI/CD processes, enable seamless collaboration between development and operations, and improve system reliability in a 12-month engagement with flexible client work arrangements.