Cloud Engineer
HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob Description
Job Overview
Job ID: J54776Job Title:
Cloud Engineer
Location: Seattle, WA
Duration: 24 Months + Extension
Domain Exposure: Government
Client: To Be Discussed Later
Employment Type:
- W-2, 1099, C2CWork Authorization:
- US Citizen, Green Card, H-1B, OPT-EAD, CPT, OtherView All Jobs
- Similar JobsSenior SAP Commerce Cloud Functional Lead Consultant - Plano, TXGoogle Cloud Platform Platform Engineer - Princeton, NJOracle Fusion Cloud Administrator - Richmond, VACLOUD AWS ADMIN - Weehawken, NJAWS Cloud DevOps Engineer - Manhattan, NY
Title: Cloud Engineer Location: Seattle, WA Duration: 24 Months + Extension
Bill Rate: $68/hour (C2C)
Job Type: W-2, 1099, C2CClient: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, OtherJob 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 SkillsAmazon 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, Cloud:
Formation, 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.
Apply NowEqual 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.
Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2004-2026, Machine Learning Technologies LLC, or its affiliates