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The opportunity to work with cutting-edge technologies in an AWS cloud based serverless data platform architecture. Have experience with DevOps tools like Git, Ansible, Salt, Python, Docker, and platforms like RedHat Satellite, ServiceNow, SPLUNK, VMWare and AWS.
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Experience in Teamcenter hosting in MS Azure Cloud platform. Experience in Teamcenter ECAD/Allegro/OrCAD (EDA) integration. Specialist in Teamcenter PLM and Active Workspace (AWC) upgrade. Specialist in Teamcenter and AWC customization.
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Experience in AWS/Cloud Technologies, and deep knowledge of source version control software (Git) You will collaborate with other technical teams on DevOps responsibilities for application deployment, performance, monitoring, reliability and scalability.
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AMD is a semiconductor design innovator leading the next era of digital experiences with its EPYC Roadmap which powers server computing products focused on driving industry-leading cloud computing and virtualization environments.
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Highly experienced and hands on with Cloud technologies, preferably MS Clienture. Experienced in Python, HPC clusters, Slurm, filesystems (ZFS, Gluster, Luster, NFS, CIFS), MPI (OpenMPI, MPICH2, IntelMIP), CUDA.
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You have experience with cloud development, which may include Kubernetes, Docker or other related technologies, familiarity with Azure, AWS and GCP is a plus. You have experience with cloud development, which may include Kubernetes, Docker or other related technologies, familiarity with Azure, AWS and GCP is a plus.
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Hands-on experience using JAVA, REST, microservices, and containers (Pivotal Cloud Foundry or Docker/Kubernetes) and integrating mainframe and midrange applications. This individual will lead or co-lead our modernization initiatives which consist of fortifying legacy applications or building new applications while developing plans to migrate key business functionality to the cloud or on-premises virtual infrastructure.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Cloud integration with Azure, AWS or Google. 7+ years of experience as a Cloud Engineer, Systems Engineer, or equivalent. In addition to being a great place to work, BOXX is the leading innovator of high-performance workstations and rendering systems for visual effects, animation, product design, engineering, architectural visualization, artificial intelligence, deep learning, and more.
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Build on experience working with Docker, Linux, AWS, Terraform, and APIs using REST and GraphQL. Python, JavaScript, Angular, Typescript, Swift, Kotlin, TerraForm, and more. Build on experience working with Docker, Linux, AWS, Terraform, and APIs using REST and GraphQL.
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We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world.
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Proficient in using Terraform to build modules for deploying applications in AWS, Azure, and/or GCP. Candidates will have the opportunity to work across various cloud providers using a wide range of Infrastructure as Code (IaC) tooling and practices, developing provider-agnostic solutions that ensure seamless functionality across different platforms.
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SF Flow)Design, build, test, debug, and provide documentation for projects/programs associated with Salesforce Marketing Cloud and legacy Pardot. Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging.
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Vetco Total Care hospitals are fully equipped with the latest technology including cloud-based practice management and records software, digital and dental x-ray, Idexx, Butterfly iQ+ handheld ultrasound, Vetology Radiograph Interpretation AI, VMED Vet-Dop2 Doppler Blood Pressure System and VETSCAN IMAGYST enabling you and your team to deliver the highest standards of care.
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Familiarity with cloud computing platforms and distributed computing frameworks for scalable and efficient model training and deployment (e.g., AWS, GCP, Azure). Strong working knowledge of cloud-based Machine Learning platforms like AWS SageMaker, Azure Client, etc.
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aws cloud jobs Title: devops Company: Pwc in Austin, TX
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