We are seeking a professional with expertise in Google Cloud Platform (GCP), based out of Scarborough, with approximately 7+ years of experience in cloud architecture and operations, including at least 5 years of hands-on experience with GCP. .

We are looking for aSenior Cloud Engineer with deep expertise inGoogle Cloud Platform (GCP)andInfrastructure as Code (IAC)usingTerraformto lead the re-platforming of mission-critical workloads (Grid and Token Pipeline) onto a newGCPFoundation with Java / Python experience. This role requires hands-on technical design, and collaboration with engineering teams to ensure scalable, secure, and automated cloud deployments

. Key Responsibilitie

s: Supportthe onboarding and infrastructure setup for Grid and Token Pipeline on the newGCPFoundati on.Define and implementTerraform-based IaC strategyfor provisioningGCPresourc es:Grid: Managed Instance Groups (MIG), Instance Templates (GCE-IT), Health Check templates, Autoscaler templates, GCS buckets, Spanner DB, Pub/S ub.Token Pipeline: GCS buckets, Pub/Sub, Cloud Functions, Datafl ow.Establishmodular Terraform architecturefor reusable components and enforce best practices for state management and versioni ng.Design and overseeCI/CD pipelinesfor automated deployment of:Secondbake image for PyGrid and RiskWatch installation/configurati on.PyGrid and Token Pipeline workloads onG CP.Definehigh-availability and autoscaling strategiesfor compute workloads using MIG and health chec ks.Ensuresecurity and complianceby integrating IAM policies, service accounts, and encryption standar ds.Update and maintainonboarding procedures, operational runbooks, and architecture documentati on.LeadClient Zero testingand performance validation for migrated workloa ds.Act as atechnical advisorforGCParchitecture, Terraform automation, and cloud-native design patter ns.Required Skills & Experie nce7+ yearsin cloud architecture and operations, with at least5 years onG CP.Expert-level proficiency inTerraform(modules, workspaces, state management, remote backend s).Strong knowledge ofGCPservices: Compute Engine, Managed Instance Groups, Autoscaler, GCS, Spanner, Pub/Sub, Cloud Functions, Datafl ow.Experience withcontainerization and orchestration(Docker,Kubernetes) is a pl us.Deep understanding ofCI/CD pipelines(Jenkins, GitHub Actions, or simila r).Strong grasp ofnetworking, IAM, and security best practicesinG CP.Proven ability todesign for scalability, reliability, and cost optimizati on.Excellent documentation and communication skills for technical and non-technical stakeholde

rs. Preferred Qualificat ionsGCPProfessional Cloud Architect certificat ion.Experience withdistributed systemslike PyGrid and RiskWa tch.Familiarity withdata engineering pipelinesand event-driven architectu

res.