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Added 11 mins ago
Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 11 mins ago
Senior Cybersecurity Recovery Architect
Nutrien
Calgary, AB
Full-time
Isolated & Clean Room Recovery Engineer secure Isolated Recovery Environments (IRE) and clean room infrastructure
Added 12 mins ago
Senior QA Automation Engineer – Contact Center
N2P Systems
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
We are looking for a Senior QA Automation Engineer with strong experience in Contact Center platforms, IVR/routing automation, and test automation,
Added 12 mins ago
Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 12 mins ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON
Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 12 mins ago
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 12 mins ago
Staff Data Scientist, Applied ML
Jobber
Kitchener, ON
Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 12 mins ago
JAMS Platform Engineer (Workload Automation / Scheduler) : Toronto ON//Hybrid
AceStack
Toronto, ON
Full-time
Job Title: JAMS Platform Engineer (Workload Automation / Scheduler)
Added 12 mins ago
Senior Cybersecurity Recovery Architect
Nutrien
Saskatoon, SK
Full-time
Isolated & Clean Room Recovery Engineer secure Isolated Recovery Environments (IRE) and clean room infrastructure
Added 29 mins ago
DevOps Engineer/Platform Engineer - Azure
Pet Valu
Markham, ON
Full-time
Position: DevOps Engineer/Platform Engineer - Azure
Added 29 mins ago
Cloud Analyst
Sun Life
Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
Full-time
…delivery of secure, scalable, and efficient cloud and container platform solutions for our…
Added 29 mins ago
Security Platform Engineer - EDR, Proxy
Sun Life
Toronto, ON · Sun Life Toronto One York
Full-time
The security platform engineer will be responsible for supporting and managing existing security technologies such as: CrowdStrike, Netskope, Semperis.
Added 29 mins ago
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 41 mins ago
Staff Software Engineer (Fullstack, BE-leaning)
Apostra
ON · United Counties of Stormont, ON
Contract
…protocols, and agent interfaces that power our agentic advertising platform. You’ll design systems where AI agents are first-class participants, with their own authentication, capabilities,…
Added 42 mins ago
AI ENGINEER
DATAEKO.AI
Huron Shores, ON
Contract
Build and defend value-based ROI, TCO, and payback business cases that translate platform differentiation into board-level outcomes
Added 43 mins ago
Software Engineer II, Toast International
Toast
ON
Title: Software Engineer II, Backend - Toast International
Added 43 mins ago
Senior Software Engineer, Backend - Toast International
Toast
ON
As a Senior Backend Engineer on the Toast International team, you’ll play a pivotal role in engineering the platform that powers the next generation of guest reservations, dynamic floor…
Added 43 mins ago
Senior Software Engineer (Sanctions Service & AI Inference)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Sanctions Service & AI Inference)Who is Mastercard?
Added 57 mins ago
Lead Azure Databricks Platform Engineer
TheCorporate
ON · Ontario, Canada
Full-time
We are seeking a seasoned Principal Cloud Engineer [Individual Contributor] who thrives in restricted Azure setups – where native features are locked down, so you’ll code workarounds like…
Added 57 mins ago
Senior Cloud Security Engineer (Golang & HashiCorp Vault)
J&M Group
Montreal, QC
Contract
We are hiring for a Senior Cloud Security Engineer (Golang & HashiCorp Vault). This role focuses on building secure, scalable cloud infrastructure and security solutions using Golang,…
Added 57 mins ago
Cloud Platform Engineer
Apex Systems
Toronto, ON
$54 to $60 USD / hour
Contract
Apex Systems is a global IT services provider, and our staffing practice has an opening for a Cloud Platform Engineer with extensive programming abilities with Python, Typescript or NodeJS,…
Added 58 mins ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and…
Added 58 mins ago
GCP Cloud Engineer
TELUS Digital
Remote, Canada
$90,000 to $95,000 CAD / year
Full-time · Remote
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…
Added 58 mins ago
Staff Security Engineer - Bot & Traffic Defence
Faire
Toronto, ON · Kitchener, ON
As a Staff Security Engineer, Bot & Traffic Defence, you will be the first dedicated owner of this domain. You will set the technical direction, build the controls and signals that back it,…
Added 1 hour ago
Director, Lifecycle Marketing
Arcady Media
Toronto, ON
Full-time

TELUS Digital

GCP Cloud Engineer

Remote, Canada

Pay: $90,000 to $95,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 29, 2026

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Original job description

Role Overview

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 or 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

Crucial Note on 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. This includes:

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 & Skills

Minimum Requirements:

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).

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More about this job

Responsibilities

The role involves designing, deploying, and maintaining scalable cloud infrastructure on GCP while leading the migration of legacy batch workloads to Apache Airflow. It also requires managing security, monitoring, and cost optimization to ensure operational excellence and system reliability.

Requirements

Candidates must have 3-5 years of professional experience in GCP and proven expertise in migrating on-premises systems to GCP Composer or Apache Airflow. Proficiency in Terraform, containerization, Linux administration, and networking is essential for this position.

Skills

Google Cloud Platform
Terraform
Apache Airflow
Kubernetes
Docker
Linux Administration
Python
Infrastructure as Code
Cloud Run
Google Kubernetes Engine
Networking
IAM
Cloud SQL
CI/CD
Cloud Observability
Data Pipelines

Remote locations

Ontario, Canada

Remote locations (standardized)

Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

GCP
Cloud Engineer
Terraform
Infrastructure as Code
GKE
Cloud Run
Apache Airflow
Composer
Docker
Kubernetes
Linux
Python
IAM
Cloud Armor
VPC
FinOps
SOC2
CI/CD
GitHub Actions
GitLab CI
Google Cloud Build
Data Pipelines
Cloud Observability
Disaster Recovery
Networking
TCP/IP
DNS
Load Balancing
Professional Cloud Architect
Professional Data Engineer

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