Remote job
Network Engineer - Highrise AI
Job details
About this role
Role overview
Help operate and improve the network infrastructure that supports large AI and machine learning workloads. As an escalation point for frontline operations, this engineer responds to production network faults, leads reliability work, and partners with customers and internal teams to improve service performance.
Responsibilities
- Provide technical support to frontline operations during working hours and through a shared after-hours on-call rotation. - Respond quickly to production network faults and lead incident handling and prevention efforts. - Work with operations and reliability engineering teams to improve network observability and tools for mitigating service impact. - Partner with development teams to automate recurring network tasks. - Maintain production network documentation, standards, and runbooks. - Work with customers and product teams to understand needs and improve reliability and service features.
Requirements
- At least five years managing network infrastructure at scale in 24/7 environments. - At least two years working with modern private cloud stacks. - Knowledge of VLANs, VXLAN, OSPF, BGP, software-defined networking, routing, switching, and load balancing. - Hands-on experience with scripting or programming for automation and familiarity with basic database concepts. - Strong troubleshooting, prioritization, communication, and customer-support skills. - A relevant college or university qualification, or equivalent practical experience.
Nice to have
- Experience with automation and infrastructure-as-code tools. - A continuous improvement approach and the ability to work collaboratively with limited supervision.
Benefits and work setup
This is a full-time role supporting infrastructure across multiple sites. The position may be hybrid or remote depending on location, with data-center travel for commissioning, acceptance, and complex troubleshooting. Participation in on-call coverage and occasional work outside regular hours are expected. The role provides scope to improve the reliability and operational standards of large-scale AI clusters.