Job Specifications
Job Title: Sr. DevOps Engineer
Location: Toronto, ON (3x onsite a week)
Employment Type: Contract
Pay Rate: CAD$40 - $50/HR INC
Job Description
Key Responsibilities:
Deploy, manage, and support applications across Development, QA, Staging, and Production environments with high availability and zero downtime.
Operate and administer Kubernetes clusters including workload management, scaling, configuration, and service mesh integrations.
Develop, package, and maintain Helm charts to standardize and automate microservices deployments.
Design, implement, and optimize CI/CD pipelines enabling continuous integration, automated testing, and multi-environment releases.
Migrate and modernize CI/CD workflows (e.g., Jenkins to Azure DevOps) with no service disruption.
Build and manage cloud infrastructure using Infrastructure as Code (Terraform).
Implement DevSecOps practices, including secure secrets management, certificate lifecycle management, and vulnerability scanning.
Monitor and improve platform reliability using centralized logging, metrics, and alerting tools.
Troubleshoot and resolve issues across Kubernetes, networking, CI/CD pipelines, and microservices deployments.
Support messaging and data platforms, including Kafka-based event flows and backend data services.
Provide 24x7 production support and participate in on-call rotations ensuring rapid incident resolution.
Create and maintain SOPs, runbooks, architecture workflows, and troubleshooting documentation.
Mentor junior engineers and contribute to continuous improvement of DevOps standards and practices.
Collaborate closely with development, QA, security, and architecture teams to ensure stable and secure releases.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
About the Company
AarornTech is a Guelph, ON based disruptive technology boutique firm specializing in Intelligent process automation development and consulting, we provide Managed RPA as a service, cloud based ready to configure Bots and end to end development and maintenance of process automation. We also support various small and large organizations (Banks, Telecom, Insurance) with their disruptive technology needs within Robotics Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), Blockchain, QA Automation, Perf...
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