Lead Site Reliability Administrator

Open Text Corporation•Mississauga, ON

35d•CA$118,000 - CA$177,000

About The Position

Opentext is a leading innovator in cloud solutions, dedicated to providing robust and scalable infrastructure to support our clients' needs. We are seeking a talented Site Reliability Engineer (SRE) to join our dynamic team and help us maintain and improve our cloud operations.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Azure DevOps certification or equivalent certifications.
Familiarity with observability tools such as Data Dog, Zabbix, Grafana, ELK stack, or AI-enhanced monitoring platforms.
Proficiency in scripting languages such as PowerShell, Python, Bash, or Go.
Experience presenting reliability strategies to leadership and driving cross-functional initiatives.
Exposure to AI/ML-based monitoring, anomaly detection, or automated remediation systems.
Interest in contributing to internal AI adoption strategies for cloud operations.

Responsibilities

Architect and manage Kubernetes clusters supporting pods across multi-region deployments to ensure high availability and scalability.
Design and maintain Azure -based infrastructure with a focus on security, performance, and cost optimization.
Develop and maintain Helm charts for consistent and automated application deployment.
Use Terraform to provision and manage infrastructure as code across multiple environments.
Monitor and optimize Windows and Linux-based systems, ensuring performance, reliability, and compliance with operational standards.
Collaborate with development teams to ensure seamless CI/CD integration and deployment of microservices.
Implement and maintain CI/CD pipelines using Octopus Deploy, Jenkins, GitLab CI, and GitHub Actions.
Lead root cause analysis and resolution of infrastructure and application performance issues.
Participate in on-call rotations and lead incident response for critical systems, ensuring rapid recovery and postmortem analysis.
Leverage generative AI tools to accelerate scripting, documentation, troubleshooting, and automation tasks.
Explore and contribute to AI-driven observability, alerting, and self-healing strategies for cloud infrastructure and applications, including anomaly detection and automated remediation.