Note: The job is a remote job and is open to candidates in USA. BayOne Solutions is seeking a skilled Data Center Network Architect to support high-performance network infrastructure for AI and high-performance computing workloads. The role is responsible for designing scalable network architectures, managing networking equipment and integrations, ensuring security and compliance, optimizing performance, and mentoring junior engineers.
Responsibilities
- Develop and document high-performance, scalable network solutions tailored for AI workloads, ensuring multi-platform operability across on-premises data centers, cloud environments, and virtualized systems
- Design a forward-looking network topology strategy that incorporates emerging technologies and trends in AI and high-performance computing
- Collaborate with physical design and facilities teams to optimize network infrastructure for space, power, cooling, and cabling management
- Configure and manage high-performance networking equipment, including switches, routers, and network interconnects optimized for AI and HPC workloads
- Ensure seamless integration with cloud networking solutions and virtualization platforms
- Ensure network architectures meet stringent security standards for AI and HPC environments; implement robust security policies and disaster recovery plans
- Monitor and optimize network performance for AI workloads; resolve complex network issues; lead disaster recovery efforts
- Maintain comprehensive network documentation; mentor and train junior engineers on best practices for AI-centric network design
Skills
- • Bachelor's degree in IT, Computer Science, Electrical Engineering, or a related field
- • 8+ years of experience in network design and architecture, with a focus on high-performance computing or AI environments
- • Proficient in advanced networking protocols and technologies that support AI and HPC workloads
- • Experience with multi-platform environments, including on-premises data centers, cloud platforms (AWS, Azure, Google Cloud), and virtualization technologies
- • Knowledge of data center design principles, including power, cooling, and cabling management
- • Certifications in networking (e.g. ACE, JCNIE, CCIE) or data center design are preferred
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