GCP Cloud Engineer

TELUS Digital

. Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code, primarily Terraform .

Posted 9/29/2026full-timeRemote • CanadaMid-LevelSenior💰 CA$90,000 - CA$95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing scalable cloud infrastructure on Google Cloud Platform (GCP) using Infrastructure as Code with Terraform, alongside strong capabilities in deploying and managing cloud services such as Compute Engine and Kubernetes. Proficient in implementing security measures, monitoring, and optimizing cloud resources while ensuring compliance with standards like SOC2.

Highest-signal resume keywords

Google Cloud Platform (GCP) ManagementTerraform ProficiencyDocker and Kubernetes (K8s) ExpertiseGCP Professional Cloud Architect CertificationPython for Airflow/Composer DAG Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Infrastructure as CodeCloud Infrastructure DesignCompute Engine ManagementKubernetes Cluster ManagementIAM Roles and Permissions ManagementCloud Load BalancingBackup and Disaster Recovery StrategiesSystem PatchingImage HardeningCost Optimization

Soft Skills

Emergency TroubleshootingOn-Call Support

Tools & Technologies

TerraformGCP Secret ManagerGoogle Cloud ObservabilityGCP ComposerApache AirflowGitHub ActionsGitLab CIGoogle Cloud Build

Certifications & Qualifications

GCP Professional Cloud ArchitectGCP Professional Data Engineer

Industry Keywords

SOC2 ComplianceVPC ConfigurationFirewall RulesVPN/InterconnectCloud FunctionsCloud SQLCloud ArmorIdentity-Aware ProxySecurity Command CenterTCP/IP

Tech Stack

Tools & technologies

AirflowApacheCloudDNSDockerGoogle Cloud PlatformKubernetesLinuxPythonSQLTCP/IPTerraform

About the role

Key responsibilities & impact

Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code, primarily Terraform
Deploy and manage Compute Engine, Google Kubernetes Engine clusters, Cloud Run, and Cloud Functions
Configure and maintain VPCs, subnetting, firewall rules, VPN/Interconnect, Cloud Load Balancing, certificate management, and Cloud DNS
Administer compute resources across Compute Engine, Cloud Run, and Cloud SQL
Implement and assist in managing IAM roles and permissions following least privilege
Manage secrets with GCP Secret Manager
Manage Cloud Armor and Identity-Aware Proxy
Use Security Command Center to identify and remediate vulnerabilities
Help ensure the environment meets standards such as SOC2
Establish monitoring and alerting using Google Cloud Observability
Develop and test backup and disaster recovery strategies
Perform system patching and image hardening
Monitor cloud consumption and implement cost-saving measures
Establish billing alerts and resource-labeling standards
Lead migration of on-premises batch scheduling workloads to GCP Composer/Apache Airflow
Design and implement scalable DAGs for data pipelines and batch jobs
Analyze legacy schedules for parallelization, optimization, and modernization
Manage cutover events with zero data loss and minimal downtime
Participate in on-call support and emergency troubleshooting

Requirements

What you’ll need

3–5+ years of professional experience managing production environments in Google Cloud Platform (GCP)
3–5 years of proven experience supporting the migration of on-premises batch scheduling systems to GCP Composer or Apache Airflow
Proven expertise with Terraform for provisioning cloud resources
Strong proficiency with Docker and Kubernetes (K8s)
Expert-level knowledge of Linux administration
Deep understanding of TCP/IP, DNS, and Load Balancing
Availability for support during standard business hours and non-business hours
GCP Professional Cloud Architect or Professional Data Engineer certification preferred
Experience with GitHub Actions, GitLab CI, or Google Cloud Build preferred
Proficiency in Python, specifically for Airflow/Composer DAG development, preferred

Benefits

Comp & perks

Participation in an on-call rotation
Availability for emergency troubleshooting during weekends or overnight if a critical system failure occurs
Scheduling maintenance windows and migration cutovers during off-peak hours