DevOps Engineer Machine Learning Technologies LLC

• Company Name: MACHINE LEARNING TECHNOLOGIES LLC
• Job Role: Dev Ops Engineer
• Qualifications: Not specified
• Category: I
• Job Type: Full Time
• Location: Raleigh, NC, United States

Job Description

Job Overview

• Job : J54648
• Job Title:
  
  Dev Ops Engineer
• Location:
  
  Raleigh, NC
• Duration: 12 Months + Extension
• Domain Exposure:
  Manufacturing
• Client:
  To Be Discussed Later
• Employment Type:
  
  W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title:
Dev Ops Engineer

Location:
Raleigh, NC

Duration: 12 Months + Extension

Bill Rate: $88/hr C2C

Job Type: W-2, 1099, C2C

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

Position Overview

The Dev Ops Engineer will be responsible for designing, implementing, and maintaining automated infrastructure, deployment pipelines, and cloud-based environments. The ideal candidate will have strong experience with CI/CD automation, cloud platforms, containerization, infrastructure as code, and configuration management. This role focuses on improving software delivery processes, enhancing system reliability, automating operational tasks, and enabling seamless collaboration between development and operations teams.

Dev Ops Technologies & Technical Expertise

• Strong experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Hands‑on experience with CI/CD tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, or Azure Dev Ops.
• Proficiency in containerization technologies such as Docker and container orchestration using Kubernetes.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Cloud Formation, or ARM/Bicep templates.
• Strong knowledge of Linux/Unix administration, shell scripting, and system troubleshooting.
• Experience with version control systems such as Git, Git Hub, Git Lab, and Bitbucket.
• Knowledge of configuration management and automation tools such as Ansible, Chef, or Puppet.
• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, Splunk, or Datadog.
• Understanding of microservices architecture, API gateways, and distributed systems.
• Experience with build and deployment tools such as Maven, Gradle, and Nexus.
• Knowledge of networking concepts, load balancing, DNS, firewalls, and security groups.
• Familiarity with Dev Sec Ops  practices, vulnerability scanning, and security automation.
• Experience with scripting languages such as Python, Bash, or Power Shell.

Key Dev Ops Engineering Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated application builds, testing, and deployments.
• Manage and optimize cloud infrastructure across AWS, Azure, or GCP environments.
• Build and maintain containerized applications using Docker and Kubernetes.
• Automate infrastructure provisioning and configuration management using Terraform and Ansible.
• Implement deployment strategies such as blue‑green, rolling, and canary deployments.
• Monitor application performance, infrastructure health, and system availability.
• Troubleshoot infrastructure, deployment, networking, and production environment issues.
• Implement centralized logging, monitoring, alerting, and observability solutions.
• Improve system reliability, scalability, availability, and operational efficiency.
• Integrate security practices into CI/CD pipelines and infrastructure workflows.
• Automate repetitive operational tasks using Python, Bash, or Power Shell.
• Collaborate with software developers, QA engineers, cloud architects, and security teams.
• Maintain infrastructure documentation, deployment procedures, and operational standards.

Experience & Professional Competencies

• 6+ years of experience in Dev Ops Engineering, Cloud Engineering, or Site Reliability Engineering.
• 4+ years of hands‑on…