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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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Provide technical support for the software, hardware, wired network infrastructure, and system security for a Linux High Performance Computing (HPC) environment. High-Performance Computing (HPC) Environment.
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Area of Specialization: Data Management, Computer Science/Software Engineering, DevOps or related discipline Engineering, Cloud Infrastructure, cloud computing or related discipline - Specialized knowledge in data management, software implementation, cloud computing, etc is needed to manage Onyx products.
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The Director, AIML Security role will be required to assess existing or new DevOps and Infrastructure, Data and Knowledge Platforms and Computing, Analysis and AI/ML Platforms supporting Data Engineering and Scaled Digital Labs (e.g., critical applications & infrastructure, commercial off the shelf, FOSS and SaaS) to create a data security strategy, reusable security frameworks and solution considerations which enable rapid, if not de facto, security.
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Responsibilities include, but are not limited to: continental IT executives, property LAN service providers (LSPs), end-user computing services delivery, hosting services, enterprise availability, server, storage, virtualization, inclusive of security/privacy, risk management, and disaster and crisis management.
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You are caught up on industry trends in data integration/transformation frameworks, DevSecOps, serverless computing/architecture and cloud technologies along with building skills to anticipate what the near future will bring.
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Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications.
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A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc. Our team helps organisations transform their network architecture and infrastructure to fundamentally change the role of Information Technology from an custodial asset to an orchestrator of business services.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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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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Experience with one of the large cloud-computing infrastructure solutions similar to AWS, MS Azure, or Google Cloud Platform (GCP) environment, data platforms including Spark, Databricks, or similar.
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Designing, architecting, implementing, and managing cloud infrastructure on leading Cloud platforms Google Cloud Platform, AWS and Azure; Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Leveraging experience in database management, migration, and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS, etc.
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