Responsibilities
Deployment, configuration, and management of all network infrastructure on our data center campus
• Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network
• Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks
• Create deployment install packages and maintain as-built documentation and asset database for network and computing equipment
• Establish and implement global best practices and contribute to the design of new scalable network solutions
• Support the development, testing and integration of new hardware and software platforms into the network
• Participate in an on-call rotation to support the network infrastructure 24x7
• 10-30% travel based on project
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of work experience responsible for designing, deploying and operating large-scale networks
• Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP)
• Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
• Experience working in a multi-vendor environment with hands-on experience with networking hardware
• Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
• Proven experience managing multiple projects simultaneously and deliver against mission critical deadlines
• Proven experience working in a global team environment and solving problems with limited supervision
Preferred Qualifications
• Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies
• Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices
• Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
• Familiarity with the Linux based systems. • Experience with scripting and automation (Bash, Python, Perl)
• Technical leadership and people management experience
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
