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One or more certifications: OCI Associate Architect, OCI Architect Professional, AWS Certifications: AWS Solutions Architect, AWS Security Specialist, Microsoft Certified: Azure Security Engineer, Associate, Microsoft Certified: Azure Solutions Architect, GCP Cloud Architect Certification, Splunk Certified Enterprise Architect, Oracle Database, Oracle WebLogic, Network Associate, Network Professional, and Network Specialist certifications.
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SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.
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Certification in Microsoft Azure or other relevant cloud technologies is preferred. - Experience with Azure services and tools, such as Azure DevOps, Azure Resource Manager, Azure Active Directory, Azure Cognitive Services, and Azure Bot Service.
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Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP), Linux-based systems, container orchestration (e.g., Kubernetes), and infrastructure as code (e.g., Terraform, Ansible). This role is pivotal in overseeing the design, implementation, and optimization of our compute infrastructure, encompassing technologies such as Apache Flink, Apache Trino, Apache Spark, and their interactions with streaming frameworks like Apache Kafka, Apache Airflow, and others.
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Our global team of 30 experts in computer graphics, AI, and art includes alumni from MIT and Harvard, as well as veterans from Nvidia, Microsoft, and Google. Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
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Understanding of cloud service providers and their AI technology services: AWS, Google Cloud, Microsoft Azure is a plus. Fun Perks - A Monthly Lifestyle Spending Account credit, an ergonomic and comfortable in-office / WFH setup.
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On Prem/Azure Active Directory, SCCM, Intune Management, Operating System Troubleshooting, Application Support Expert. Provide Hardware Support - For Dell/Lenovo/Apple branded Laptop & Desktops including troubleshooting & isolating issue and perform parts/service calls for onsite and remote users.
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
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Microsoft Azure certifications, such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert, are preferred. Experience with DevOps and CI/CD tools, such as Azure DevOps, Bitbucket, and Jenkins.
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General knowledge of computer applications, such as Microsoft Office Suite (Word, Excel and Outlook) and related information systems (Radiology (RIS), laboratory (LIS), electronic health records (EHR), EPIC, and picture archive and communication system (PACS.
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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 in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Demonstrable basic knowledge with AWS and Microsoft Azure installation, configuration, and administration of security features and services including identity and access management, service-related security features, networking, firewalls, encryption, and related best practices.
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5+ years of proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software. Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.
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Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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microsoft azure jobs Title: finance and in Mountain View, CA
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