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System Admin, Network Admin, Windows Server Administration, Linux Administration, VmWare Administration, Azure Cloud, DevOps, Terraform, Active Directory, Powershell. Collaborate with cross-functional teams, including developers, system administrators, and DevOps engineers, to design and implement scalable and reliable cloud solutions.
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Google Cloud Professional Certification(s), such as Cloud Architect, Data Engineer, ML Engineer, DevOps Engineer, etc. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 6 years of experience in DevOps Engineering (Internship experience does not apply.
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Bonus points, if you’ve obtained Google Cloud Professional certifications (like Architect, Data Engineer, or DevOps). Join forces with our Software Development, Data Science and DevOps folks to understand their requirements and build well-architected, automated solutions, such as CI/CD, data pipelines or deployment infrastructure using Google Cloud Platform.
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Experience in Amazon Web Services, Microsoft Azure, Google Cloud and OpenStack. MAG Aerospace is seeking a highly skilled Cloud Engineer (DevOps) to join our growing organization in Ft. Liberty, NC (formerly Ft. Bragg.
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Experience with architecting and deploying applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Experience with automating system configurations and orchestrating network operations and DevOps pipelines, scaling, releases, and day-to-day system operations in Cloud environments.
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In-depth knowledge of cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). The Sr. DevOps Engineer will be responsible for developing CI/CD pipelines, configuration, and infrastructure automation, monitoring and logging, security, privacy, and policy management within our environment (cloud/on-premises.
$146,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Program, languages, and database experience: Python, Ruby, PowerShell, Bash, PostgreSQL, MS-SQL; cloud web services: Azure, Microsoft Graph, or Google APIs. DevOps frameworks, particularly Terraform, Puppet, Ansible, or Chef. Microsoft, Linux, and Mac operating systems, and experience with Docker, containers, and related technologies.
$5,186.75 - $7,520.81 a monthFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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With key strategic partners like Microsoft, Intel, ServiceNow, and Snowflake, Fortanix customers like PayPal, Google & Adidas are reaping the benefits. Linux, Docker, Kubernetes, AWS, Azure, GCP, IBM Cloud.
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Azure DevOps Engineer Expert, or Google Cer\fied Professional Cloud Architect, are a plus. We also are a Google Cloud partner company. Exper\se in building tools like Jenkins, GitHub Ac\ons, Azure DevOps, and comparable DevOps tools.
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Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and AI services. Familiarity with DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines.
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Design and implementation of cloud-based solutions for AWS, Azure, and Google Cloud Platform. Practical experience with cloud platforms such as AWS, Azure, and Google Cloud Platform, along with the ability to adapt to new platforms.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 4 years of experience in DevOps Engineering (Internship experience does not apply.
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Familiarity with cloud technologies such as AWS, Azure, or Google Cloud Platform. Experience with Agile methodologies and project management tools such as Azure DevOps, JIRA, or Trello.
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Experience developing on cloud platforms ( Google Cloud , AWS, or Azure). Collaborate with software development, DevOps, and Data Engineering teams for model training and deployment.
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