Role: Senior DevOps & Site Reliability Engineer
Location: Toronto, ON
Interview Mode - Virtual
Hybrid

Key Responsibilities:

• Oversee the reliability, availability, and performance of Apigee Hybrid and Google Distributed Cloud environments, ensuring robust SRE practices.
• Manage and automate certificate management processes, including renewals, deployments, and compliance checks.
• Plan and execute upgrades and maintenance activities for Apigee Hybrid and distributed cloud infrastructure, minimizing downtime and ensuring seamless transitions.
• Implement and maintain monitoring solutions using Dynatrace and Splunk, proactively identifying and resolving issues to ensure system health and performance.
• Troubleshoot complex production incidents, perform root cause analysis, and drive incident resolution to restore service quickly and prevent recurrence.
• Develop and maintain automation scripts and Ansible playbooks for operational efficiency, including tasks such as Kubernetes context retrieval, proxy configuration, and container management.
• Collaborate with cross-functional teams to ensure security, compliance, and best practices are followed across all SRE activities.
• Mentor and guide team members in SRE methodologies, fostering a culture of continuous improvement and operational excellence.

Required Skills for this role:

• 3+ years of experience in Site Reliability Engineering or related roles.
• Experience with Apigee Hybrid, Google Distributed Cloud, Azure, GCP, and Kubernetes.
• Advanced DevOps and SRE skills: CI/CD, automation, monitoring, infrastructure as code.
• Certificate management scripting and automation.
• Proficiency with Ansible for configuration management and orchestration.
• Experience with APM tools such as Dynatrace, Splunk
• Programming experience with python

Ansible (Software), Apigee Hybrid, API Management, Azure Kubernetes Service (AKS), CI/CD, Dynatrace APM, Google Anthos, Kubernetes, Public Key Infrastructure, Python (Programming Language), Red Hat Enterprise Linux (RHEL), Site Reliability Engineering, Splunk, Terraform, VMware