Cloud Engineer
Robotics Technologies LLC
Phoenix, AZ, United States
11 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
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
+13 more
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
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:
- 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. *
Requirements
- Exposure to Agentic AI.
- Experience with LLM integration frameworks.
- Exposure to cloud and AI modernization initiatives.
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