Senior IT Cloud Operations Engineering Specialist

Geotab•Oakville, ON

3h•CA$104,400 - CA$135,700•Hybrid

About The Position

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 excellence at scale. In 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 Geotab’s SaaS platform. If you love cloud infrastructure, automation, and building systems that make a real difference — we would love to hear from you!

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
7+ years of experience in IT/Cloud Operations with a proven track record leading complex cloud infrastructure projects at a senior level.
Mastery of Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE); AWS experience is a plus.
Advanced proficiency in PowerShell (primary), Bash, and Python; hands-on experience with Terraform for infrastructure as code.
Strong SQL skills across multiple database platforms (MSSQL, MySQL, PostgreSQL, BigQuery) and experience with Prometheus, Grafana, and Victoria Metrics.
Associate-level cloud certification (GCP or AWS) required; Professional-level certification highly valued; Google Cloud Generative AI or Professional Machine Learning Engineer certification preferred.
Experience with AI/ML platforms (e.g., Vertex AI, BigQuery ML) and generative AI tools (e.g., Claude, Copilot) for operational automation and productivity.

Nice To Haves

AWS experience is a plus.
Professional-level cloud certification highly valued.
Google Cloud Generative AI or Professional Machine Learning Engineer certification preferred.

Responsibilities

Ongoing development and reinforcement of Geotab’s complex, globally distributed cloud infrastructure.
Handle on-call pages and address operational tickets (approximately five to six per day, primarily provisioning requests).
Continuously improve and expand the team’s PowerShell-based automation stack.
Lead critical infrastructure projects including assuming ownership of the monitoring stack (Prometheus, Grafana, Victoria Metrics).
Drive end-to-end certificate lifecycle management automation.
Implement GCP cost management strategies to identify and eliminate stale or idle resources.
Champion the adoption of AI and ML tools across cloud operations (from predictive monitoring to anomaly detection).
Mentor teammates on AI-assisted scripting and infrastructure workflows.
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.