DevOps Engineer

MACHINE LEARNING TECHNOLOGIES LLC

Columbia (SC)

On-site

USD 82,000 - 117,000

Full time

11 hours ago
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Job summary

Machine Learning Technologies LLC is seeking a seasoned DevOps Engineer to manage cloud infrastructure, automate deployments, and improve application delivery. The ideal candidate will bring hands-on experience with AWS, CI/CD, Docker, Kubernetes, and Terraform, collaborating with development and operations teams to ensure reliable, scalable services.

The role emphasizes building robust pipelines, provisioning infrastructure, and monitoring performance to quickly address production issues while

Qualifications

  • 5+ years of DevOps experience.
  • Strong knowledge of AWS, Linux, and cloud infrastructure.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with Jenkins and CI/CD automation.
  • Proficiency in Terraform, Ansible, and Python or Shell scripting.
  • Knowledge of Git, monitoring, and deployment tools.

Responsibilities

  • Design and maintain cloud infrastructure using AWS.
  • Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, or GitLab.
  • Automate infrastructure provisioning using Terraform and Ansible.
  • Build and deploy applications using Docker and Kubernetes.
  • Monitor application performance and troubleshoot production issues.
  • Work closely with development and operations teams.

Skills

DevOps experience
CI/CD discipline
Communication

Tools

AWS
Linux
Docker
Kubernetes
Jenkins
Git
Terraform
Ansible
Python/Shell scripting
Prometheus/Grafana
Helm

Job description

Job Details

Job ID: J54977

Job Title: DevOps Engineer

Location: Columbia, SC

Duration: 9 Months + Extension

Client: To Be Discussed Later

Bill Rate: $72/hour (C2C)

Job Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Position Overview

We are seeking a skilled DevOps Engineer to manage cloud infrastructure, automate deployments, and improve application delivery processes. The ideal candidate should have experience with AWS, CI/CD pipelines, Docker, Kubernetes, and Terraform.

Key Responsibilities
  • Design and maintain cloud infrastructure using AWS.
  • Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, or GitLab.
  • Automate infrastructure provisioning using Terraform and Ansible.
  • Build and deploy applications using Docker and Kubernetes.
  • Monitor application performance and troubleshoot production issues.
  • Work closely with development and operations teams.
Required Skills
  • 5+ years of DevOps experience.
  • Strong knowledge of AWS, Linux, and cloud infrastructure.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with Jenkins and CI/CD automation.
  • Proficiency in Terraform, Ansible, and Python or Shell scripting.
  • Knowledge of Git, monitoring, and deployment tools.
Preferred Qualifications
  • AWS or Azure certification.
  • Experience with Prometheus, Grafana, and Helm.
  • Knowledge of DevSecOps practices.
Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

© 2004-2026, Machine Learning Technologies LLC, or its affiliates

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