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EPRI

Infrastructure Engineer III Data Science Administrator

EPRI, Charlotte, North Carolina, United States, 28245

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Infrastructure Engineer III Data Science Administrator

Location: Charlotte, NC Key Responsibilities: Administration: Oversee the storage and backups solutions including updates/patches, maintain and improve the high-performance computing environment Infrastructure Design & Implementation: Architect, deploy, and manage infrastructure solutions across virtualized environments, on-premises data centers, and cloud platforms System Optimization: Monitor and enhance system performance, reliability, and scalability Cloud Management: Oversee cloud migrations, hybrid cloud integrations, and infrastructure-as-code practices Security & Compliance: Implement and maintain security best practices and compliance standards Automation: Develop and maintain automation scripts to improve operational efficiency Disaster Recovery: Design and test disaster recovery and business continuity plans Collaboration: Partner with software development, DevOps, and network teams to support application deployments and troubleshoot issues Mentorship: Provide technical guidance and mentorship to junior and intermediate engineers Capacity Planning: Analyze infrastructure usage and forecast future needs Documentation: Create and maintain detailed documentation of configurations, processes, and procedures Other Tasks: Perform other tasks as assigned by IT Management On call Rotation: Work and will be available for after-hours support and projects Education and Experience: Bachelor's degree in computer science, Information Technology, a related field, or equivalent experience required A minimum of 10+ years of experience supporting enterprise infrastructure Expertise in server operating systems and infrastructure technologies Proficiency with hypervisor technologies, Hyper-V preferred Expertise with enterprise storage and backup solutions, Pure and Rubrik experience preferred Experience with Data Science and High Performance Computing environments (x86, GPU, Backup, Storage Architecture) Skills and Attributes: Exposure to AI tools and infrastructure support for machine learning and data analytics Familiarity with cloud platforms (Microsoft Azure preferred) and hybrid cloud infrastructure Ability to multitask and troubleshoot complex infrastructure issues Excellent problem-solving skills and attention to detail Strong verbal and written communication skills Proficiency in automation and system management tools Experience with containerization and cloud platforms Familiarity with network protocols, security, and system monitoring tools Knowledge of scripting languages and cloud services offerings Experience in an enterprise-level datacenter environment Certificate management and deployments Lifecycle management of data center resources Patch management and threat vulnerability management