Senior IT Cloud Operations Engineering Specialist

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior IT Cloud Operations Engineering Specialist who will lead the evolution of our globally distributed cloud infrastructure driving automation AI-powered monitoring and operational this senior role you will bridge innovation and stability implementing cutting-edge infrastructure as code practices self-healing systems and intelligent cost optimization strategies while ensuring the reliability and security of Geotabs SaaS platform. If you love cloud infrastructure automation and building systems that make a real difference we would love to hear from you!

As a Senior IT Cloud Operations Engineering Specialist your key area of responsibility will be the ongoing development and reinforcement of Geotabs complex globally distributed cloud infrastructure. You will handle on-call pages and address operational tickets approximately five to six per day primarily provisioning requests while continuously improving and expanding the teams PowerShell-based automation stack. You will lead critical infrastructure projects including assuming ownership of the monitoring stack (Prometheus Grafana Victoria Metrics) driving end-to-end certificate lifecycle management automation and implementing GCP cost management strategies to identify and eliminate stale or idle resources. You will also champion the adoption of AI and ML tools across cloud operations from predictive monitoring to anomaly detection and mentor teammates on AI-assisted scripting and infrastructure workflows.

To be successful in this role you will need a builders mindset: someone who spots inefficiencies takes ownership and ships solutions without being asked. You will work closely with the Cloud Automation Development Security Server Operations and Solution Engineering teams navigating complex technical relationships while maintaining clear proactive communication. The ideal candidate is a self-starter who thrives in a flat high-autonomy environment and brings a proven track record of taking complex infrastructure problems from diagnosis to resolution.

• Implement automated deployment strategies for patches and upgrades to reduce downtime and ensure a seamless update process.

• Develop predictive monitoring systems using AI/ML algorithms to proactively troubleshoot issues in high-availability environments.

• Implement new and optimize existing infrastructure as code (IaC) practices to automate server provisioning and configuration ensuring scalability and rapid deployment.

• Establish self-healing mechanisms and fault-tolerant architecture to minimize manual intervention during outages and ensure quick recovery.

• Apply AI-driven cost prediction models to optimize cloud spending creating dynamic thresholds and proactive cost-saving strategies.

• Introduce AI-driven anomaly detection systems to provide real-time insights into security controls and tool effectiveness enhancing the overall security posture.

• Lead the strategic implementation and integration of AI technologies across cloud operations establishing best practices frameworks and standards for AI adoption.

• Foster a culture of continuous improvement using collaboration tools to streamline communication and optimize operational processes between internal departments.