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Experience in native CSP orchestration stacks (e.g., Azure ARM templates, AWS CloudFormation, Google Cloud Deployment Manager) Experience in container-native technologies such as Kubernetes, container native virtualization, network, etc.
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As a Customer Engineer, you will work with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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T2+ Incident Responders with forensic/containment experience in Google Cloud Platform (GCP), Data Loss Protection (DLP), or. Security Researchers/Threat Hunters who specialize in Cloud (GCP), Web/Mobile apps, and/or DLP, or.
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Be familiar and continuously upgrade skills related to mission critical publishing and data/analytics tools, and emerging capabilities, including Google Analytics, Adobe Experience Manager, strategic SEO, AIO, scalable cloud document management, collaboration tools (e.g., Frontify, SharePoint), smart automation and immersive content practices.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. The Multi-Cloud Engineering team builds secure cloud infrastructure to support the entire Capital One organization with a primary focus on GCP, Azure and AWS platforms.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Development & administration on cloud platforms (Kubernetes, Cloud Foundry, Azure, AWS, Google Cloud, IBM Cloud, Bluemix Heroku, and others) Exposure to AWS or Google or Azure Cloud platform (Kubernetes, containers, pods etc.
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
$144,600 - $241,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Proficient knowledge on at least few of these technologies: Cloud technologies (VMware, AWS, Azure, Google) / Automation frameworks (Ansible, Terraform) / Operating Systems (Linux / Windows) / Security ( Identity and Access Management) / Web & Application Servers (Apache / IIS / Tomcat) / Database (SQL / NoSQL) / Messaging (Kafka / MQ/ SQS) / Monitoring (Prometheus, OEM, Open Metrics) / Networking (TCP/IP, Software Defined Network.
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All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
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Proficient with Entra ID (Azure AD) utilized as an IDP in Google Cloud (GCP) Expert in Google Cloud Role-Based Access Controls (RBAC) and Google Cloud IAM Services.
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The Nutanix US EAST Hybrid Multicloud Sales Leader is an individual contributor responsible for owning the plan for the success of Nutanix running on Public Hyperscalers and Regional Cloud Scalers such as AWS, Microsoft Azure, Google, OVHcloud, Equinix.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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C#, Shell Script, Python, and SQL; utilizing Cloud Services including Amazon Web Services, Azure, or Google Cloud Services to secure services and provide development support; utilizing virtualization environments to create and manage virtual machines, including VMware ESXI and Virt-Manager; and integrating Network Attached Storage (NAS) and Storage Area Network (SAN) devices.
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) AWS cloud experience will certainly get you ahead in candidate selection.
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