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in Python and C/C++; familiarity with Unix/Linux environments. Experience architecting data pipelines (edge to cloud), data quality assurance, metadata and time synchronization, and secure remote
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organizations, regulatory agencies, peer groups, and the research community. Strong knowledge of a wide range of IT services relevant to research support, including network infrastructure, cloud computing
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authorization standards, including SAML, OAuth 2.0, OpenID Connect (OIDC), and LDAP. Familiarity with managing user identities and group memberships in LDAP and Active Directory Understanding of cloud-native IAM
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centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major Duties
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) specialization such as systems architecture with proven experience in design, deployment, and maintenance; networking fundamentals, protocol and design, and cloud and virtualization technologies. Security and
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/Responsibilities: Platform Operations & Implementation Assist in day-to-day operations for on-premises and cloud-based Kubernetes clusters. Develop and integrate critical components for networking, CI/CD tooling, OS
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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: Infiniband, Mellanox, OFED, Voltaire, Force10 Proven experience in: HPC architecture and performance tuning Cybersecurity in HPC/cloud environments Infrastructure as Code (AWS, Terraform, Ansible, Packer
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have