Cloud Engineer

Machine Learning Technologies, LLC; Phoenix (AZ); On-site; USD 120,000 - 170,000; Full time

Job summary

Machine Learning Technologies, LLC in Phoenix, AZ seeks a Cloud-Native Engineer experienced in Python development and cloud-native platforms to design, develop, and maintain scalable cloud applications using AWS/GCP, Kubernetes, Docker, and IaC.

You will build CI/CD pipelines, collaborate with cross-functional teams, and help drive modernization initiatives, focusing on reliability, performance, and code quality across cloud environments.

Qualifications

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

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.

Skills

Cloud platforms

Kubernetes

Containerization

CI/CD concepts

Troubleshooting

Tools

Kubernetes

Docker

Terraform

GitHub Actions

Jenkins

IaC tooling

Job description

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:

• AWS and/or Google Cloud Platform (GCP).
• Kubernetes and Amazon EKS.
• Docker and containerization technologies.
• Infrastructure as Code (IaC).
• Terraform and DevOps automation.
• 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.

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.