Cloud Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Phoenix (AZ); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Cloud Engineer in Phoenix to design, develop, and maintain cloud-native applications using AWS or GCP, Kubernetes, Docker, and IaC. You will build scalable services, implement CI/CD pipelines, and automate deployment.

The role emphasizes DevOps practices, performance optimization, and collaboration with architects and teams to modernize workloads, ensuring reliability across cloud platforms.

Formación

• Experience building cloud-native applications on AWS and/or GCP.
• Proficiency with Kubernetes, Docker, and modern CI/CD pipelines.
• Strong IaC skills with Terraform and DevOps automation.

Responsabilidades

• Design, develop, and maintain cloud-native solutions on AWS/GCP.
• Design and deploy containerized apps with Kubernetes, EKS, and Docker.
• Implement Infrastructure as Code and automate provisioning and deployment.

Conocimientos

Python

Cloud-native

CI/CD

Troubleshooting

DevOps

Collaboration

Herramientas

Kubernetes

Docker

Terraform

GitHub Actions

Jenkins

EKS

Descripción del empleo

Job Details

• Job ID: J53508
• Job Title: Cloud Engineer
• Location: Phoenix, AZ
• Duration: 12 Months + Extension
• Domain Exposure: Government
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Role Overview

Seeking a Cloud-Native Engineer experienced in Python development, AWS/GCP, Kubernetes, containerization, Infrastructure as Code, and CI/CD automation. The candidate will design, develop, and maintain cloud-native applications using modern engineering and DevOps practices.

Required Technical Skills

• Python development.
• AWS and/or Google Cloud Platform (GCP).
• Kubernetes and Amazon EKS.
• Docker and containerization technologies.
• Infrastructure as Code (IaC).
• Terraform and DevOps automation.
• CI/CD pipelines.
• GitHub Actions and Jenkins.
• Cloud-native application development and deployment.
• Troubleshooting, application performance optimization, and platform reliability.

Key Responsibilities

• Design, develop, and maintain cloud-native solutions on AWS/GCP.
• Design and deploy containerized applications using Kubernetes, EKS, and Docker.
• Implement Infrastructure as Code and automate provisioning and deployment.
• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and related tools.
• Collaborate with architects and application teams to modernize workloads.
• Troubleshoot technical issues and improve application and platform performance.
• Identify technical debt and drive continuous improvement.
• Contribute to engineering standards, code reviews, documentation, and knowledge sharing.

Preferred Skills

• Exposure to Agentic AI.
• Experience with LLM integration frameworks.
• Exposure to cloud and AI modernization initiatives.

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.