Cloud Engineer - AWS/Azure/GCP, IaC, Kubernetes

MACHINE LEARNING TECHNOLOGIES LLC; Seattle (WA); On-site; USD 77,000 - 110,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Seattle seeks an experienced Cloud Engineer to design, implement, and maintain scalable cloud infrastructure across AWS, Azure, or GCP. You will build automation, ensure security, and drive cost optimization.

Responsibilities include deploying cloud environments, configuring services, and managing containers with Docker and Kubernetes, plus CI/CD integration with Jenkins or GitHub Actions. This role requires strong scripting and cloud networking expertise.

Qualifications

• Hands-on experience with AWS, Azure, or GCP.
• Experience designing and managing scalable cloud infrastructure.
• Experience with IaC tools (Terraform, CloudFormation, ARM).
• Proficiency with container orchestration (Docker, Kubernetes).
• Scripting in Python, Bash or PowerShell.

Responsibilities

• Design, deploy, and manage cloud infrastructure across AWS, Azure, or GCP.
• Implement scalable, highly available cloud environments.
• Configure cloud services, VMs, storage, and networking.
• Manage IaC pipelines and automation scripts.
• Implement cloud security policies, IAM roles, and access controls.
• Monitor performance, cost, and utilization; optimize resources.
• Collaborate with DevOps, security, and development teams.

Skills

Cloud platforms (AWS/Azure/GCP)

IaC (Terraform, CloudFormation, ARM)

Docker

Kubernetes

Python

Bash/PowerShell

Linux/Windows Server

Cloud networking (DNS, VPN, Load Bal)

Git and version control

Tools

Terraform

CloudFormation/ARM Templates

Jenkins/GitHub Actions/Azure DevOps

CloudWatch

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Seattle seeks an experienced Cloud Engineer to design, implement, and maintain scalable cloud infrastructure across AWS, Azure, or GCP. You will build automation, ensure security, and drive cost optimization.

Responsibilities include deploying cloud environments, configuring services, and managing containers with Docker and Kubernetes, plus CI/CD integration with Jenkins or GitHub Actions. This role requires strong scripting and cloud networking expertise.