GCP Cloud Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, construct, and uphold scalable cloud infrastructure utilizing Infrastructure as Code, primarily with Terraform.

• Deploy and oversee Compute Engine, Google Kubernetes Engine clusters, Cloud Run, and Cloud Functions.

• Configure and manage VPCs, including 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 in accordance with the principle of least privilege.

• Manage secrets using GCP Secret Manager.

• Oversee Cloud Armor and Identity-Aware Proxy.

• Utilize Security Command Center to identify and resolve vulnerabilities.

• Contribute to ensuring the environment complies with standards such as SOC2.

• Establish monitoring and alerting using Google Cloud Observability.

• Develop and test backup and disaster recovery strategies.

• Execute system patching and image hardening.

• Monitor cloud consumption and implement cost-saving initiatives.

• Set up billing alerts and resource-labeling standards.

• Lead the migration of on-premises batch scheduling workloads to GCP Composer/Apache Airflow.

• Design and implement scalable Directed Acyclic Graphs (DAGs) for data pipelines and batch jobs.

• Analyze legacy schedules for opportunities in parallelization, optimization, and modernization.

• Manage cutover events ensuring zero data loss and minimal downtime.

• Participate in on-call support and emergency troubleshooting.

⛳️ Requirements

• 3–5+ years of professional experience managing production environments in Google Cloud Platform (GCP).

• 3–5 years of proven experience facilitating the migration of on-premises batch scheduling systems to GCP Composer or Apache Airflow.

• Demonstrated expertise with Terraform for provisioning cloud resources.

• Strong proficiency in Docker and Kubernetes (K8s).

• Expert-level knowledge of Linux administration.

• In-depth understanding of TCP/IP, DNS, and Load Balancing.

• Availability for support during standard business hours and after hours as needed.

• GCP Professional Cloud Architect or Professional Data Engineer certification is preferred.

• Experience with GitHub Actions, GitLab CI, or Google Cloud Build is preferred.

• Proficiency in Python, particularly for Airflow/Composer DAG development, is preferred.

🏝️ Benefits

• Participation in an on-call rotation.

• Availability for emergency troubleshooting during weekends or overnight in the event of a critical system failure.

• Scheduling maintenance windows and migration cutovers during off-peak hours.