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Using Microsoft Hyper-V, VMWare, ProxMox, AWS, Azure (EntraID) and Google GCP instances the SA will provide support for provisioning new servers and then applying required security patches to address known vulnerabilities.
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Snowflake or a Cloud Warehouse product equivalent, such as Google BigQuery or AWS RedShift. Experience in system architecture, including standard data system design patterns, basic UNIX/network fundamentals, and designing/building data systems in the Cloud (Azure, AWS, or GCP.
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Familiarity with cloud technologies such as AWS, Azure, or Google Cloud Platform. Experience with Agile methodologies and project management tools such as Azure DevOps, JIRA, or Trello.
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Dynatrace gives you the chance to work with the largest of the Cloud players like AWS, Azure, VMware, and Google Cloud allowing our customers to have the best 3rd Generation Monitoring in the world.
$120,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers. Cloud migration and cloud consulting Primary experience required are on Amazon Web Services(AWS), and Google Cloud Platform (GCP), MS Azure Architecture as secondary.
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Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.) Cloud and Technology Strategies. Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, 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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Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and hybrid infrastructure environments. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and hybrid infrastructure environments.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Languages & Technologies: Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell.
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Extensive experience working in cloud-based environments like AWS, Google Cloud, or Azure. You’ll really stand out with:Advanced certifications such as RHCE (Red Hat Certified Engineer) or LFCE (Linux Foundation Certified Engineer) are a plus.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Some understanding of big data tools/platforms, e.g. Apache Spark, Cloud and Cloud tools such as Google's LookerStudio or AWS QuickSight. They will have some understanding of big data tools/platforms, e.g. Apache Spark, Cloud and Cloud tools such as Google's LookerStudio or AWS QuickSight.
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Hands on experience with Microsoft Azure, AWS, or Google Cloud. As a Senior SRE, you will play a key role in driving your teams success and scaling our cloud platform. You are a Senior SRE who is interested in building something from the ground up with our new and exciting cloud platform.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Kinesis, Azure Stream Analytics, or Google Cloud Dataflow.
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Background in solution architecture, with a focus on cloud technologies such as AWS, Azure, and Google Cloud Platform. Develop a comprehensive integrated roadmap for AI platforms in a multi-cloud, multiple LLM, environment.
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