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Knowledge of emerging technologies, such as cloud computing, DevOps, microservices, and IoT, and their impact on enterprise architecture. Establish application, data, network, cloud, and datacenter centric architectures and designs based on where MWAA is current state and convince implementation team to execute.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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As part of our ServiceNow Solutions organization, you’ll play a key role in developing a cloud computing platform to help companies manage digital workflows for enterprise operation. ServiceNow Certified System Administrator (current or within 6 months of hire) and ServiceNow Certified Implementation Specialist for ITSM (current or within 6 months of hire.
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Software, Information Technology, Financial Services, Technology, IT Services, Artificial Intelligence, Software Development, Data Analytics, Cloud Computing, Cybersecurity. Software, Information Technology, Financial Services, Technology, IT Services, Artificial Intelligence, Software Development, Data Analytics, Cloud Computing, Cybersecurity.
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Coordinates provisioning of cloud computing services and credits (AWS, Google Cloud, Azure) to department researchers. Analyzes system requirements from cost, development, deployment, capacity, flexibility and support perspectives, encompassing hardware, virtualization and cloud computing aspects.
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Cloud computing infrastructure (i.e., Amazon AWS, Microsoft Azure) Cloud infrastructure management tools (i.e., AWS Systems Manager, Azure Monitor) Responsible for the maintenance, configuration, and reliability of cloud hosted EC2 instances, including proactively improving AWS infrastructure.
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Design, develop, test, deploy, and document big data cloud computing workflows. Helm Point Solutions is a growing woman-owned Cyber & Physical Security Contractor located in Columbia, Maryland.
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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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We need you to design, develop and help improve the upstream GNU Toolchain for NVIDIA's CPUs. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world.
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Experience with Cloud Service Providers such as AWS, Azure, GCP, and OCI. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
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This is an exciting opportunity for an experienced Python engineer who is passionate about open source software, Linux, and cloud-native computing. You have interest and experience with two or more of the following: Linux, Kubernetes, Public cloud, OpenStack, LXC/LXD, Python, Go, Debian packaging, scalable web services.
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Information Services, Information Technology, IT Services, Software Development, Data Analytics, Cloud Computing, Computer Software, Telecommunications, Consulting Services, Information Technology Services.
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Cassandra, Kerberos, SDN, Docker, Kubernetes, Serverless Computing, etc. Experience in Docker, Kubernetes and Cloud technologies will be a plus. Familiarity with Hadoop and its ecosystem Hive, Pig, Spark, HDFS, HBase, Oozie, Zookeeper, etc will be useful in this role.
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