AWS Cloud DevOps Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); Sur place; USD 97 000 - 138 000; Plein temps

Résumé du poste

Machine Learning Technologies LLC in Charlotte, NC seeks an AWS Cloud DevOps Engineer to design and manage robust AWS infrastructure, automate deployments, and improve service reliability. You will build CI/CD pipelines, implement IaC with Terraform, and manage containerized apps using Docker and Kubernetes.

The role requires strong AWS expertise, scripting in Python or Shell, Linux administration, and cloud networking knowledge.

Qualifications

• Strong knowledge of AWS services.
• Experience with Terraform and Infrastructure as Code.
• Hands-on experience with Docker and Kubernetes.
• Jenkins, GitHub Actions, or GitLab CI/CD.
• Scripting knowledge in Python or Shell.
• Knowledge of Linux administration and cloud networking.

Responsabilités

• Design and manage AWS cloud infrastructure.
• Build and maintain CI/CD pipelines.
• Automate infrastructure provisioning using Terraform.
• Manage containerized applications using Docker and Kubernetes.
• Monitor application performance and troubleshoot production issues.
• Implement cloud security and infrastructure best practices.

Connaissances

AWS services

Terraform

Docker

Kubernetes

CI/CD

Python/Shell

Linux administration

Cloud networking

Outils

Jenkins

GitHub Actions

GitLab CI/CD

Description du poste

Job Overview

Job ID: J53898

Job Title: AWS Cloud DevOps Engineer

Location: Charlotte, NC

Duration: 12 Months Contract

Bill Rate: $85/hr

Employment Type: W-2, 1099, C2C

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

Job Description

We are seeking an AWS Cloud DevOps Engineer to manage cloud infrastructure, automate deployment processes, and improve application reliability. The ideal candidate should have strong experience with AWS services and DevOps automation tools.

Key Responsibilities

• Design and manage AWS cloud infrastructure.


• Build and maintain CI/CD pipelines.


• Automate infrastructure provisioning using Terraform.


• Manage containerized applications using Docker and Kubernetes.


• Monitor application performance and troubleshoot production issues.


• Implement cloud security and infrastructure best practices.

Required Skills

• Strong knowledge of AWS services.


• Experience with Terraform and Infrastructure as Code.


• Hands-on experience with Docker and Kubernetes.


• Jenkins, GitHub Actions, or GitLab CI/CD.


• Scripting knowledge in Python or Shell.


• Knowledge of Linux administration and cloud networking.

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.

Machine Learning Technologies LLC, or its affiliates