Site Reliability Engineer - Remote - Canada

View full description

Requirements:

• 4+ years of experience in Site Reliability Engineering or a similar role with a strong focus on cloud infrastructure.
• Expertise in Infrastructure as Code (IaC) using Terraform and Terragrunt.
• Deep knowledge of AWS cloud services and best practices for scalable and secure architectures.
• Hands-on experience with Confluent Cloud and Kafka for distributed data streaming.
• Strong experience with Redis for caching and RDS for data storage.
• Proficiency with OpenSearch/ElasticSearch/ChaosSearch for search and analytics.
• Advanced knowledge of monitoring tools like Prometheus, Grafana, Alert Manager, and OpsGenie.
• Experience with LaunchDarkly for feature flag management.
• Extensive experience managing Kubernetes clusters, including Helm for package management, ArgoCD for deployments, and Istio for service mesh configurations.
• Familiarity with Kustomize for Kubernetes resource configuration.
• Strong problem-solving skills and ability to troubleshoot complex systems in production environments.
• Excellent communication and collaboration skills within agile teams.

Responsibilities:

• Design, build, and maintain highly scalable cloud infrastructure using Terraform and Terragrunt for automated resource provisioning.
• Manage and optimize AWS cloud environments, ensuring security, cost efficiency, and high availability.
• Oversee data streaming platforms using Confluent Cloud and Kafka, ensuring reliable data pipelines.
• Deploy and manage Redis instances for caching and real-time data processing.
• Implement and maintain monitoring and alerting solutions using Prometheus, Grafana, Alert Manager, and OpsGenie.
• Enable feature flag management and controlled rollouts with LaunchDarkly.
• Manage Kubernetes clusters, utilizing Helm, ArgoCD, Istio, and Kustomize for continuous deployment and infrastructure-as-code practices.
• Collaborate with development teams to integrate new services into the infrastructure seamlessly.
• Troubleshoot complex system issues to maintain high availability and performance.
• Continuously improve automation tools, processes, and methodologies to enhance system scalability.