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Google Cloud accelerates every organization's ability to digitally transform its business and industry. 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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Experience deploying Kubernetes ecosystem into Google Cloud Platform Container Service. Experience deploying Kubernetes ecosystem into Google Cloud Platform Container Service.
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Senior Staff Quantitative UX Researcher, Google Cloud. Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products.
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Lead the Migration of Entire Legacy Catalog Services to Cutting Edge next generation Reactive Microsystems using Akka-Http,Akka Streams, which are deployed in Kubernetes Ecosystem in Public Cloud like Google GCP and Microsoft Azure.
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Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience with cloud computing infrastructure (AWS or Google Cloud) is a plus. The Deisseroth Lab at Stanford University is looking for a Computational Biology Research Scientist to develop software for a recently developed revolutionary technology for spatial gene expression mapping (STARmap: Spatial Transcript Amplicon Readout mapping.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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In-depth knowledge of cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). SLAC is a U.S. Department of Energy (DOE) National Laboratory operated by Stanford University and based in Menlo Park, CA. Your specific responsibilities will include:Implement and maintain container-based microservices and serverless applications using Kubernetes, Swarm in IaaS cloud or hybrid on-premise.
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Familiarity with Amazon Web Services, Google Cloud Platform, Terraform, Helm, Vault, and Ansible. As the Software Engineering Manager, DevOps Team, you will be leading a team developing tools to create and maintain cloud infrastructure, automate the management of complex service-oriented applications, databases, and other tools, and develop frameworks to ensure our client s Private Cloud s stability and scalability.
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With your networking, firewall, cloud, and development skills, you’ll design, build automation and integrate along with our secure programs – scale and secure our infrastructure and application in a Google Cloud Platform environment as well as collaborate with other team members.
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EInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. eInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients.
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Extensive experience with cloud infrastructure (Google Cloud, AWS, etc) and working familiarity with Docker/Kubernetes. Build efficient solutions on top of Google Cloud Platform using Python and other languages as appropriate.
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Strong technical understanding and experience in SaaS industry Experience with one or more of the following technologies related to Dynatrace: Cloud/new stack technologies such as OpenStack, OpenShift, AWS, Azure, Google Cloud, Cloud Foundry, Kubernetes, SAP, etc.
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Experience with cloud security technologies and services, such as Google Cloud Platform (GCP) security tools and services, IAM, and VPC. Relevant certifications, such as CISSP, CCNP Security, or Google Cloud Security Engineer are helpful, but knowledge & experience are essential.
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Proven track record of data and infrastructure management in an HPC (High-Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC.
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google cloud jobs in Mountain View, CA
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