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Public and Hybrid clouds technologies, (AWS, Azure, Google Cloud, etc) Container technologies: Docker / Kubernetes / Rancher. Container technologies: Docker / Kubernetes / Rancher.
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Experience routing between Bare Metal Solution and Google Cloud (or AWS/Azure) Google Cloud Platform experience. Assist DevOps team in implementing Kubernetes clusters.
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Cloud/PaaS Environments Working knowledge of Google Cloud Platform (preferred), Amazon Web Services & Microsoft Azure. The role also involves cloud technologies - strong working experience in a public cloud (Google Cloud is preferred) is essential.
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Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like EC2, S3, Lambda, Kubernetes, and managed AI/ML services. Responsibilities include designing, implementing, and supporting Kubernetes clusters, automating deployment processes, monitoring system health, troubleshooting issues, and collaborating with cross-functional teams to ensure the smooth operation of our cloud-native infrastructure.
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Experience with cloud platforms such as Google Cloud Platform and Amazon Web Services. Experience in Public Cloud(GCP/AWS), automated build, deployment and modern CICD. Responsibilities: Innovate, design, build and maintain cloud-native and data-centric SaaS products.
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Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization.
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Orchestration – Kubernetes, OpenShift, Docker. The role needs an expert understanding of Docker and experience on running application in Kubernetes. Experience with running services in large Kubernetes clusters.
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Cloud Experience (AWS, Google Cloud, Azure) Solid experience with Spring framework, Rest API, MongoDB, ElasticSearch, Kubernetes and Docker. We are looking for a senior engineer to join the team that is building our latest cloud security product - Data Loss Prevention (DLP.
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Career level years of proven experience in leading test strategy Cloud products such as AWS, Google Cloud Platform (GCP), and Azure. Design, develop and execute test automation to test software features on our next-generation security platform as part of our AI/ML Strata Cloud Service.
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Worked with a GPU cluster in a research lab or in a public cloud (AWS, Azure, Google Cloud). Knowledge of modern software deployment systems like Kubernetes. This software engineering role involves helping us evolve the way our private compute cloud is architected and optimized.
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Experience with Cloud Computing platforms (e.g. Amazon AWS, Microsoft Azure, Google Compute etc. Experience with Cloud orchestration systems such as Kubernetes, Openstack etc.
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Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure. Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search a plus.
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Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure. Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success.
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Experience with Google Cloud, Kubernetes, Docker. The Technology & Society organization connects research, people, and ideas across Google and Alphabet to help shape and advance our most ambitious technology innovations and initiatives and their impact on users and society for the better, and responsibly.
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