Data Science Dev/Ops Engineer

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Description

Overview To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day. ITS Lead Data Science Dev/Ops Engineer will be an experienced system administrator and DevOps engineer with aproven track record of managing distributed hardware and software environments, integrating emerging technologies and working within a collaborative development and analytics environment. The individual will be responsible for management of dedicated and virtual environments that run data science platforms using Kubernettes. The individual must have familiarity with both Linux and Windows environments. EEO/AA/Disability/Veteran Responsibilities System Management /DevOps Coordinates and supports Ubuntu Linux engineering and operations Deploying, managing and administering Kubernetes Manages container workloads (Kubernetes) Develops and supports Infrastructure as code (Python, Ansible, Helm, GitLab) Monitoring and alerting (Prometheus) Coordinates and supports Nutanix operations (management of virtual servers) Researches new technologies or methods to advance technical capabilities of the Co-op; Works with system owners to consult on system design and gather technical requirements fo rcomplex IT systems Experience designing to high availability and disaster rec

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