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Strong employer brand, metro location and mid-level demand increase competition despite niche network reliability requirements.
Role requires deep network operations and protocols, limiting transferability across non-networking domains.
Explicit 5+ years, required deep networking protocols and mandatory automation skills make filters stringent.
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Implement, maintain, and optimize AI-powered network monitoring, alerting, and incident response platforms.
Deploy AI-driven anomaly detection and automated remediation workflows to improve network reliability across hyper-scale hybrid cloud infrastructure.
Collaborate with Network Engineering and TechOps to integrate intelligent automation into existing network operations and participate in 24x7 on-call rotation.
Bachelor's degree in Computer Science, Network Engineering, or related field (Equivalent experience considered).
5+ years of experience in network operations including 2+ years with intelligent monitoring tools or automation platforms.
Hands-on experience with large scale IP networking protocols (BGP, OSPF, ISIS, VRF, VxLAN, eVPN, QoS, GRE, IPSec, DNS, MACsec, MPLS, CLOS).
Proficiency with Linux troubleshooting, Prometheus/Grafana/ELK or similar tools, and infrastructure-as-code tools such as Python, Terraform, Ansible.
Experienced in working with global teams managing 24x7 network operations using AI-enhanced monitoring and automation.
Demonstrated ability to translate machine learning insights into actionable network operations improvements and streamline workflows.
Skilled in integrating AI technologies to drive operational efficiency and reliability in large-scale, hybrid cloud network environments.