EXPERIENCE (YEARS):

• 4-6
  Job Types: Full-time, Fixed term contract
  Work Location: Hybrid remote in Toronto, O

• Proficiency in deploying, managing, and scaling containerized applications using Cloud Build.
• Design and manage containerized applications using Docker.
• Maintain Docker images and manage versions.
• Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.
• Implement and maintain CI/CD pipelines, integrating automated testing and deployment procedures to accelerate software delivery.
• Familiarity with service mesh technologies like Istio for managing microservices communication, traffic routing, load balancing within Kubernetes clusters.
• Strong understanding of Google cloud platform services and tools, with hands-on experience in deploying and managing workloads on GCP, including familiarity with GKE for Kubernetes orchestration.
• Proficiency in utilizing GCP’s storage services like Cloud Storage, Cloud SQL, Bigtable and BigQuery for storing and processing data at scale.
• Familiarity with GCP’s serverless offering like Cloud Functions and Cloud Run for building and deploying event driven and scalable applications.
• Experience in configuring IAM roles and permission on GCP, ensuring proper access control across various services and resources.
• Good experience in infrastructure as code (IaC) using terraform to automate the provisioning, configuration, and management of cloud resources on GCP, ensuring infrastructure is versioned, reproducible, and scalable.
• Could automate the infrastructure provisioning and management tasks using Terraform, creating reusable modules and templates to streamline deployment processes and improve operational efficiency.