Site Reliability Analyst

Canadian Tire Corporation•Oakville, ON

4d•CA$53,000 - CA$88,000•Hybrid

About The Position

This is a Site Reliability Analyst individual contributor role reporting to the Manager, SRE – Engineering Excellence. The role supports the reliability, availability, and operational stability of production systems by assisting with incident response, automation, monitoring, and CI/CD support. The Site Reliability Analyst will work closely with senior SREs, DevOps engineers, and platform teams to maintain and improve existing automation, reduce manual toil, and learn industry‑standard reliability practices. Exposure to AI‑assisted tools will be needed, but this role does not require advanced AI or machine‑learning expertise.

Requirements

College diploma or bachelor’s degree in a technical field
3–5 years of experience in SRE, DevOps, cloud operations, or infrastructure support
Good scripting skills (Python, Bash, or Shell)
Hands‑on experience supporting CI/CD pipelines or deployment workflows
Practical exposure to cloud environments (Azure preferred)
Understanding of monitoring, alerts, and incident response
Exposure to observability platforms such as New Relic
Interest in AI‑assisted productivity tools (e.g., Copilot)
Strong problem‑solving and troubleshooting mindset
Willingness to learn from feedback and documentation
Clear written and verbal communication
Attention to operational detail and follow‑through

Nice To Haves

Exposure to Terraform, Bicep, or other IaC tools is a nice to have
Familiarity with Kubernetes or containerized applications is a nice to have

Responsibilities

Implement small‑to‑medium automation improvements to reduce manual operational tasks
Maintain and enhance existing scripts and workflows used by the SRE team
Use scripting (Python or Shell) to support operational processes and tooling
Assist with the support and maintenance of CI/CD pipelines in Azure DevOps
Help manage and validate infrastructure changes using Infrastructure‑as‑Code under supervision
Support containerized workloads and deployments in Kubernetes‑based environments
Help maintain monitoring, alerting, and dashboards to improve operational visibility
Assist in reducing alert noise and improving the quality of operational signals
Use observability data to support troubleshooting and incident resolution
Use AI‑assisted tools (e.g., Microsoft 365 Copilot) to support documentation, investigation, and workflow efficiency
Assist with automation workflows using tools like Power Automate under guidance
Use applied AI tooling as part of ongoing development, not as a core ownership area