Sobre esta vaga de Senior Network Engineering na Geotab
Who we are:
Who you are:
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!
What you'll do:
As a Senior Network Engineer, your key area of responsibility will be providing expert-level technical leadership for Geotab's 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 technologies. In 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.
How you'll make an impact:
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Lead the design, planning, and configuration of corporate, data center, and cloud-based network environments to support business growth and global operational resilience
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Drive the integration of AI into network operations strategy — including automation, predictive monitoring, and intelligent infrastructure management — to achieve operational excellence at scale
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Architect and recommend enterprise-grade AI-driven solutions that enhance network monitoring, analysis, and decision-making, and mentor team members on AI/ML adoption
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Enable automation to reduce release cycle time and improve quality through AI-driven analytics, optimization dashboards with predictive thresholds, and automated recommendations
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Incorporate security controls and AI-driven anomaly detection and threat analysis into system implementations to ensure robust enterprise security
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Design and implement AI-driven data governance and compliance monitoring solutions, ensuring automated adherence to regulatory and organizational standards
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Champion the adoption of generative AI tools (e.g., Claude, Copilot) across the team to accelerate troubleshooting, scripting, and documentation workflows
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Mentor, guide, and influence team members — acting as a technology thought leader and cross-training resource for all network-related functions
What you'll bring to the role:
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Bachelor's degree in Computer Science, IT, Networking, or equivalent experience
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5–8 years of experience in Network Engineering with a strong background in enterprise and cloud-based environments
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Hands-on experience with cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure
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Proficiency with scripting and automation tools (Linux Bash, PowerShell, DevOps tooling) and experience with AI/ML platforms such as Vertex AI or BigQuery ML
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Deep expertise with enterprise network technologies including Cisco/Dell switching, firewalls, VPN, multi-VLAN, DNS/DNSSEC, SNMP, QoS, and wireless standards (802.11a/b/g/n/ac/ax)
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Proven experience with AIOps practices including incident detection, root cause analysis, and automated remediation across complex distributed systems
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Certifications preferred: CCNA, CCNP, Professional Cloud Network Engineer, associate cloud certification (GCP or AWS), Google Cloud Generative AI, or Google Cloud Professional Machine Learning Engineer
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.