Cloud Engineer

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

Job Description

Job ID: J54776

Title: Cloud Engineer

Location: Seattle, WA

Duration: 24 Months + Extension

Domain Exposure: Government

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate: $68/hour (C2C)

Job Type: W-2, 1099, C2C

Job Summary

We are seeking an experienced Cloud Engineer to design, implement, manage, and maintain scalable cloud infrastructure. The ideal candidate should have hands-on experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP), cloud architecture, automation, networking, security, and infrastructure management.

Key Responsibilities

• Design, deploy, and manage cloud infrastructure across AWS, Azure, or GCP.
• Implement and maintain scalable, highly available cloud environments.
• Configure cloud services, virtual machines, storage, and networking components.
• Manage cloud infrastructure using Infrastructure as Code (IaC) tools.
• Develop automation scripts using Python, Bash, or PowerShell.
• Implement cloud security policies, IAM roles, and access controls.
• Monitor cloud performance, availability, and resource utilization.
• Configure load balancers, auto-scaling, and disaster recovery solutions.
• Manage containerized applications using Docker and Kubernetes.
• Implement CI/CD pipelines for application deployment.
• Troubleshoot cloud infrastructure and production issues.
• Optimize cloud resources and reduce infrastructure costs.
• Collaborate with DevOps, security, and development teams.

Required Technical Skills

• Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• EC2, S3, IAM, VPC, Lambda, and CloudWatch.
• Azure Virtual Machines, Azure Storage, and Azure Networking.
• Google Compute Engine, Cloud Storage, and BigQuery.
• Terraform, CloudFormation, or ARM Templates.
• Docker and Kubernetes.
• Jenkins, GitHub Actions, or Azure DevOps.
• Python, Bash, and PowerShell scripting.
• Linux and Windows Server Administration.
• Cloud Networking, DNS, VPN, and Load Balancing.
• Cloud Security and Identity Access Management.
• Git and Version Control.

Equal Opportunity Employer

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.