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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Industry has made significant advances in this direction along the theme of IoT or Internet of Things and autonomous cars where ubiquitous sensing, low-cost computation, and mobile devices are connected across a cloud computing continuum.
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Working knowledge and skills in cloud container services (e.g. GKE, EKS, AKS), storage services (e.g. EBS), and database services (e.g. RDS); digital or infrastructure deployments that includes managing projects related to highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and cybersecurity.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. 2+ year's Experience with provisioning and configuration management systems (terraform, ansible) across multiple cloud providers.
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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 the SPC’s stability and scalability.
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Knowledge of infrastructure as code (IaC) tools and concepts, including Terraform, and experience with cloud computing platforms. Dive into the world of automation, streamlining build, deployment, and release processes using infrastructure as code (IaC) tools like Terraform.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Good hold on technology like Kubernetes, Microservices, Cloud Storage, delivery pipelines, and REST APIs. Experience with Microservices Architecture and design. Knowledge/Experience with automating infrastructure, testing, and deployments using tools like Jenkins, Puppeteer, Selenium, Playwright, Cypress or any other automation framework.
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The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
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They possess deep knowledge of and have experience in Microsoft Azure, NetApp storage and across various workload categories, such as General Enterprise Filesharing, SAP, Databases (Oracle/MS SQL), Azure VMware Solution, Virtual Desktop Infrastructure (Azure Virtual Desktop/Citrix), High Performance Computing, K8S (Azure Kubernetes Service), and AI/ML.
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AMG designs and develops power management and sensor interface integrated circuits targeting the Automotive, Industrial, and Cloud/Computing end markets. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure.
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Cloud platforms (AWS, GCP, Azure) including services like managed Kubernetes. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Certifications in Leading Infrastructure Platforms: Hold relevant certifications such as IBM Certified Solution Architect – Cloud Computing Infrastructure v3, Google Cloud Platform Qualified Developer, Microsoft Azure Solutions Architect, VMWare Certifications (Data Center Virtualization, Cloud Management and Automation, Network Virtualization) or Red Hat Certified Architect.
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The team's expertise spans across various domains, including cloud computing, DevOps, CICD, Kubernetes, GitLab, and Terraform, among others. Hands-on experience with infrastructure as code (IAC) tools like Terraform.
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Experience with cloud computing platforms like AWS, Azure, or GCP.Experience in training and optimizing Generative AI models (GANs, VAEs, diffusion models, etc.) Deep familiarity across the stack - compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.
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The TeamThe Prisma Cloud Platform Engineering Team is responsible for building products that protect data, workloads, and infrastructure for some of the largest enterprise customers in the world.
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cloud computing infrastructure jobs in Santa Clara, CA
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