[Hiring] GCP Cloud Engineer @TELUS Digital

Role Description

We are seeking a highly skilled and motivated GCP Cloud Systems Engineer to lead the design, deployment, and operational excellence of our Google Cloud Platform (GCP) environment. A key focus for this role will be to work with a transitional team of our legacy on-premises environment to a modern, cloud-native orchestration framework. The ideal candidate is a hybrid of a Systems Administrator and a DevOps Engineer—someone who is comfortable writing Terraform code, troubleshooting networking issues, migrating a legacy scheduler to Airflow, and providing support.

Key Responsibilities

• Infrastructure & Automation
  • Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code (IaC), primarily via Terraform.
  • Deploy and manage optimized Compute Engine’s, Google Kubernetes Engine (GKE) clusters, serverless options like Cloud Run or Cloud Functions.
  • Configure and maintain Virtual Private Clouds (VPCs), including subnetting, firewall rules, hybrid connectivity (VPN/Interconnect), Cloud Load Balancing, Certificate management, and Cloud DNS to ensure secure and efficient traffic flow.
  • Administer compute resources across Compute Engine, Cloud Run, and Cloud SQL.
• Security & Governance
  • Implement and assist in the management of a robust security posture using IAM roles and permissions, ensuring the principle of least privilege across all projects.
  • Manage secrets and sensitive configurations using GCP Secret Manager.
  • Manage Cloud Armor for DDoS protection and Identity-Aware Proxy (IAP) for secure administrative access.
  • Utilize Security Command Center to proactively identify and remediate vulnerabilities.
  • Manage and assist in our ability to ensure the environment meets industry standards such as SOC2.
• Operations & Reliability
  • Establish comprehensive monitoring and alerting frameworks using Google Cloud Observability.
  • Develop and test automated backup and disaster recovery strategies.
  • Perform regular system patching and image hardening.
• Cost Management (FinOps)
  • Monitor cloud consumption and implement cost-saving measures (e.g., committed use discounts, right-sizing).
  • Establish billing alerts and resource labeling standards.
• Migration & Data Orchestration (Priority Focus)
  • Legacy Migration: Lead the strategic migration of batch scheduling workloads from on-premises systems to GCP Composer / Apache Airflow.
  • DAG Development: Design and implement scalable, maintainable Directed Acyclic Graphs (DAGs) to automate complex data pipelines and batch jobs.
  • Workflow Optimization: Analyze legacy batch schedules to identify opportunities for parallelization, optimization, and modernization in the cloud.
  • Cutover Planning: Manage the risk and execution of "cutover" events, ensuring zero data loss and minimal downtime during the transition from on-prem to GCP.
• Operational Requirements & Availability
  • As this role is critical to the stability of our production environments, the successful candidate must be available for support during both standard business hours and non-business hours.
  • 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.

Qualifications

• Experience: 3–5+ years of professional experience managing production environments in Google Cloud Platform (GCP).
• Migration Expertise: 3–5 years of proven experience supporting the migration of on-premises batch scheduling systems to GCP Composer or Apache Airflow.
• IaC: Proven expertise with Terraform for provisioning cloud resources.
• Containers: Strong proficiency with Docker and Kubernetes (K8s).
• OS: Expert-level knowledge of Linux administration.
• Networking: Deep understanding of TCP/IP, DNS, and Load Balancing.

Preferred Qualifications

• Certification: GCP Professional Cloud Architect or Professional Data Engineer.
• CI/CD: Experience with GitHub Actions, GitLab CI, or Google Cloud Build.
• Scripting: Proficiency in Python (specifically for Airflow/Composer DAG development).