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# Cloud-Native Engineer

- **Company:** Artech
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $83,200 - $93,600
- **Contract:** Permanent 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, System Availability, Large Language Models, Technical Debt, Infrastructure as Code (IaC), Agentic-AI, Containerization, Kubernetes, Deployment Automation, Cloud Optimization, Terraform, Docker, Jenkins
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/cloud-native-engineer-phoenix-az--728160a1-921a-4c29-a48c-9bf106f3cc37

## About the Role

Software Engineering, Cloud Computing, Cloud Computing, Software Engineering, GCP (Good Clinical Practices), Amazon Web Services (AWS), Docker, Software Design, GitHub, DevOps, "Experience in Python development, AWS/GCP, Kubernetes, containerization, DevOps automation (Terraform/IaC), and CI/CD pipelines, with additional exposure to Agentic AI and LLM integration frameworks."

Keyword:
"Python development, AWS/GCP, Kubernetes, containerization, DevOps automation (Terraform/IaC), and CI/CD pipelines, Agentic AI and LLM integration framework"

Experience Required :
5-6 Years

Role Descriptions: Experience in Python development| AWS/GCP| Kubernetes| containerization| DevOps automation(Terraform/IaC)| and CI/CD pipelines| with additional exposure to Agentic AI and LLM integration frameworks. Roles & Responsibilities Design| develop and maintain cloud-native solutions on AWS/GCP using modern software engineering practices. Design containerised applications using Kubernetes| EKS| Docker and related cloud-native technologies. Implement Infrastructure as Code (IaC) and automate provisioning| deployment and operational workflows. Build and maintain CI/CD pipelines leveraging GitHub Actions| Jenkins and related DevOps toolchains. Collaborate with architects| product owners and application teams to modernise workloads and adopt cloud best practices. Troubleshoot issues| optimise application performance and improve platform reliability. Identify technical debt| drive continuous improvement initiatives and evaluatee merging technologies in Cloud and A
Essential Skills: Experience in Python development| AWS/GCP| Kubernetes| containerization| DevOps automation(Terraform/IaC)| and CI/CD pipelines| with additional exposure to Agentic AI and LLM integration frameworks.

## Description

"Design, develop and maintain cloud-native solutions on AWS/GCP using modern software engineering practices.
· Design containerised applications using Kubernetes, EKS, Docker and related cloud-native technologies.
· Implement Infrastructure as Code (IaC) and automate provisioning, deployment and operational workflows.
· Build and maintain CI/CD pipelines leveraging GitHub Actions, Jenkins and related DevOps toolchains.
· Collaborate with architects, product owners and application teams to modernise workloads and adopt cloud best practices.
· Troubleshoot issues, optimise application performance and improve platform reliability.
· Identify technical debt, drive continuous improvement initiatives and evaluate emerging technologies in Cloud and AI.
· Contribute to engineering standards, code reviews, documentation and knowledge-sharing activities. · Work effectively both independently and collaboratively within a global team environment.", Design| develop and maintain cloud-native solutions on AWS/GCP using modern software engineering practices. Design containerised applications using Kubernetes| EKS| Docker and related cloud-native technologies. Implement Infrastructure as Code (IaC) and automate provisioning| deployment and operational workflows. Build and maintain CI/CD pipelines leveraging GitHub Actions| Jenkins and related DevOps toolchains. Collaborate with architects| product owners and application teams to modernise workloads and adopt cloud best practices. Troubleshoot issues| optimise application performance and improve platform reliability. Identify technical debt| drive continuous improvement initiatives and evaluatee merging technologies in Cloud and A