Infrastructure Engineer III –Data Science Administrator
4 days ago
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.
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