DevOps Engineer MACHINE LEARNING TECHNOLOGIES LLC

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

DevOps Engineer Overview

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

Job Description

Job Overview

• Job ID: J54648
• Job Title: DevOps 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: DevOps 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 DevOps 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.

DevOps 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, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Proficiency in containerization technologies such as Docker and container orchestration using Kubernetes.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, CloudFormation, or ARM/Bicep templates.
• Strong knowledge of Linux/Unix administration, shell scripting, and system troubleshooting.
• Experience with version control systems such as Git, GitHub, GitLab, 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 DevSecOps practices, vulnerability scanning, and security automation.
• Experience with scripting languages such as Python, Bash, or PowerShell.

Key DevOps 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 PowerShell.
• 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 DevOps Engineering, Cloud Engineering, or Site Reliability Engineering.
• 4+ years of hands‑on experience with CI/CD pipeline development and automation.
• Strong experience with at least one major cloud platform: AWS, Azure, or GCP.
• Practical experience with Docker, Kubernetes, and container orchestration.
• Strong knowledge of Infrastructure as Code and configuration management tools.
• Experience supporting production environments and troubleshooting complex technical issues.
• Understanding of networking, cloud security, and infrastructure monitoring.
• Knowledge of Agile development practices and collaborative engineering workflows.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication skills and ability to work with cross‑functional teams.

Academic Qualifications & Preferred Certifications

• 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.

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.

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