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# Cloud Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Phoenix, AZ, United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Performance Management, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, DevOps, Github, Python (Programming Language), Software Engineering, Google Cloud, Spring Cloud, System Availability, Large Language Models, Technical Debt, Infrastructure as Code (IaC), Agentic-AI, Containerization, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Terraform, Docker, Jenkins
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eb7ab5d4a30aa939

## About the Role

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

## 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:

 * 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.
*, * 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.
*