Senior GCP Cloud Engineer

Google Cloud Engineer (IAC) Remote; Canada
We’re looking for a self-driven, hands-on GCP Cloud Engineer to join our team and take ownership of the GCP infrastructure that powers our client’s data platform. For this role, you should be experienced with maintaining IaC-like product code. You’ll work closely with Data Engineers, Architects, Security, and Product teams to design, build, and maintain GCP services, enabling scalable, secure, and cost-effective data solutions. 
If you thrive in a fast-moving environment, have a DevOps mindset, and love working with modern cloud-native technologies, we want to hear from you! 

Google Cloud Engineer Requirements:

• Strong expertise with Terraform for GCP infrastructure as code. 
• Experience with DevOps practices: CI/CD, GitOps, automation, monitoring. 
• Comfortable working with Docker, Linux, and basic networking concepts (VPC, firewalls, peering). 
• Solid understanding of GCP services 
• You’ve shipped real infrastructure in GCP and know how to balance speed, cost, and stability. 
• Terraform isn’t just a tool—you write clean, reusable modules and maintain IaC like product code. 
• You're someone who sees security and compliance as built-in, not bolted on. 
• You can take a vague idea, work with stakeholders, and turn it into a scalable GCP solution. 
• You’re not afraid of logs, errors, or broken pipelines—you debug with confidence. 
• You love collaborating, but you're also self motivated enough to own your scope end-to-end. 

• Support GCP Infrastructure. 
• Design, develop, and maintain Terraform and its modules for GCP infrastructure provisioning and management. 
• Collaborate with Data Engineers and Architects to ensure cloud resources meet data processing, security, and scalability requirements. 
• Work closely with the Security team to ensure all infrastructure and services are compliant with organizational and regulatory standards. 
• Monitor and optimize GCP costs, implementing guardrails and usage patterns to keep spending under control. 
• Implement CI/CD pipelines for infrastructure and application deployments. 
• Enable observability and monitoring across services (e.g., Cloud Monitoring, Logging, and custom alerts). 
• Ensure GCP projects follow IAM best practices, cost optimization, and security standards. 
• Troubleshoot issues and lead performance improvements across the platform.