Senior Network Engineering

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Network Engineer who will serve as the subject matter expert for all corporate data center and cloud-based networks leading the design implementation and support of day-to-day network operations while driving innovation through AI-integrated infrastructure and intelligent automation. If you love solving complex networking challenges building resilient global systems and are keen to join an industry leader we would love to hear from you!

As a Senior Network Engineer your key area of responsibility will be providing expert-level technical leadership for Geotabs corporate data center and cloud-based network environments from architecture and design through to operations and continuous improvement. You will design and implement complex multi-site network solutions including firewalls inter-site VPN multi-WAN and multi-VLAN environments configure and troubleshoot Cisco and Dell Layer 2/3 switches and maintain a fully redundant and resilient global network topology that meets demanding development operations and business requirements. You will leverage AI-powered observability predictive analytics and intelligent automation to proactively identify and resolve issues drive compliance monitoring and enable the team to move faster at scale.

To be successful in this role you will be a collaborative technical leader and mentor who can influence others share knowledge across the team and serve as a thought leader on emerging network and AI/ML addition the successful candidate will have strong analytical skills meticulous attention to detail and the ability to manage multiple complex projects simultaneously in a fast-moving flat organizational environment.

• Lead the design planning and configuration of corporate data center and cloud-based network environments to support business growth and global operational resilience

• Drive the integration of AI into network operations strategy including automation predictive monitoring and intelligent infrastructure management to achieve operational excellence at scale

• Architect and recommend enterprise-grade AI-driven solutions that enhance network monitoring analysis and decision-making and mentor team members on AI/ML adoption

• Enable automation to reduce release cycle time and improve quality through AI-driven analytics optimization dashboards with predictive thresholds and automated recommendations

• Incorporate security controls and AI-driven anomaly detection and threat analysis into system implementations to ensure robust enterprise security

• Design and implement AI-driven data governance and compliance monitoring solutions ensuring automated adherence to regulatory and organizational standards

• Champion the adoption of generative AI tools (e.g. Claude Copilot) across the team to accelerate troubleshooting scripting and documentation workflows

• Mentor guide and influence team members acting as a technology thought leader and cross-training resource for all network-related functions