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Mid Level Cloud Operations Engineer Jobs in Toronto, ON

Zafin

Lead Cloud Operations Engineer- Azure

Toronto, ON · On-site

CA$110K - CA$135K/yr

Reporting to the Senior Manager, Cloud Operations, the Lead Cloud Operations Engineer is a senior-level technical role responsible for leading a team of cloud engineers and hands-on technical ...

RBRO Solutions

Manager, Cloud Operations

Markham, ON · On-site

CA$125K - CA$135K/yr

Manager, Cloud Operations Job Responsibilities * Determine requirements for secure, reliable, cost ... Keen interest in DevOps methods and technologies (Docker, Kubernetes, Ansible, Git, Puppet, Chef ...

Scotiabank

Cloud Engineer

Toronto, ON · On-site

Combining the disciplines of DevOps, Systems Administration, and Cloud Engineering, the Cloud Operations Engineer contributes to the reliability, scalability, and performance of cloud-based systems.

Forhyre

Cloud DevOps Engineer

Toronto, ON

... s engineer with experience in cloud architecture/environments. The ideal candidate will have strong development, engineering, communications, and leadership abilities. Responsibility The DevOps ...

Cority Software

Sr. DevOps Engineer

Toronto, ON · On-site

... s Engineer will work collaboratively with software engineering to deploy and operate our systems ... Architect, develop and deliver fully automated multi-account global cloud infrastructure on AWS ...

Scotiabank

Senior Cloud Engineer

Toronto, ON · On-site

Combining the competencies of DevOps, Systems Administration, and Cloud Engineering, the role of Cloud Operations Engineer provides the opportunity to combine your technical ability, strategic ...

BMO Capital Markets

Principal Cloud Engineer

Toronto, ON

CA$94K - CA$176K/yr

Mentor junior and mid-level engineers and lead technical direction across projects * Conduct design ... Operational excellence * Drive modernization initiatives * Define observability strategies using ...

AIM Software

Senior DevOps Engineer

Toronto, ON · Remote

... s Engineer to join our team atSimCorp. This role is pivotal in ensuring the seamless delivery ... Build and manage cloud environments using Infrastructure as Code (Terraform, Ansible, etc.

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Mid Level Cloud Operations Engineer information

What is the difference between Mid Level Cloud Operations Engineer vs Cloud Support Engineer?

AspectMid Level Cloud Operations EngineerCloud Support Engineer
Required CredentialsCertifications like AWS Certified Solutions Architect, Azure AdministratorSimilar certifications, often including vendor-specific ones
Work EnvironmentHands-on management of cloud infrastructure, deployment, monitoringCustomer support, troubleshooting, issue resolution
Employer & Industry UsageTech companies, cloud service providers, enterprisesCloud service providers, IT support firms, SaaS companies

The Mid Level Cloud Operations Engineer focuses on managing and maintaining cloud infrastructure, while the Cloud Support Engineer primarily handles troubleshooting and customer support. Both roles require similar certifications and are common in cloud-centric industries, but their daily responsibilities differ significantly.

What are the most commonly searched types of Cloud Operations Engineer jobs in Toronto, ON?

The most popular types of Cloud Operations Engineer jobs in Toronto, ON are:

What are popular job titles related to Mid Level Cloud Operations Engineer jobs in Toronto, ON?

For Mid Level Cloud Operations Engineer jobs in Toronto, ON, the most frequently searched job titles are:

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Mid Level Cloud Operations Engineer jobs near you
Infographic showing various Mid Level Cloud Operations Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

Senior IT Cloud Operations Engineering Specialist

Geotab

Oakville, ON • On-site

Full-time

Medical, Dental, Retirement

Posted 6 days ago

Job description

Who you are:

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 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!

What you'll do:

As a Senior IT Cloud Operations Engineering Specialist, your key area of responsibility will be the ongoing development and reinforcement of Geotab's 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 team's 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 builder's 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.

How you'll make an impact:

  • 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.

What you'll bring to the role:

  • 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.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
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:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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