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Added 6 days ago
AS
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 6 days ago
MF
GIS Analyst
Mosaic Forest Management
Campbell River, BC · Nanoose Bay, BC · Nanaimo, BC
- Full-time
…working out how to solve it. Specific responsibilities will vary with business priorities and and will…
Added 6 days ago
TD
GCP Cloud Engineer
TELUS Digital
Remote, Canada
- $90,000 to $95,000 CAD / year
- Full-time
- Remote
…(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…
Added 6 days ago
L
Data Scientist
Lantern
AB · Edmonton, AB
- Full-time
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Added 6 days ago
MF
GIS Analyst
Mosaic Forest Management
Nanaimo, BC
- Full-time
…working out how to solve it. Specific responsibilities will vary with business priorities and and will…
Added 6 days ago
Intermediate Water & Wastewater Policy And Data Analysist (Hybrid)
Kerr Wood Leidal Associates
Victoria, BC · Burnaby, BC
…sustainability and service delivery across Western Canada. You will work with staff in our Water Supply and Treatment and Stormwater sectors as well as with staff across sectors to support…
Added 6 days ago
D
Senior Data Platform Developer
Dialogue
Toronto, ON · Montreal, QC
- $105,000 to $135,000 CAD / year
Advanced SQL skills and strong software engineering skills in Python.
Added 6 days ago
T
Architect
TechDoQuest
Toronto, ON
- Contract
Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
Added 6 days ago
A
Co-Op, Development Operations AI & Automation Enablement Intern
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
Experience with Python, JavaScript, C#, SQL, or similar programming languages.
Added 6 days ago
SI
Director of Analytics Engineering
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect analytics engineering investments to company priorities,…
Added 6 days ago
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Principal Azure Databricks Architect
Hays
Toronto, ON
- Contract
Develop scalable data pipelines using Azure Data Factory, Databricks, Python, PySpark, and SQL.
Added 6 days ago
CS
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
- Full-time
Our Mission is to advance our client-first philosophy by managing investor capital with the highest levels of professionalism and integrity. We are dedicated to capital preservation while…
Added 6 days ago
BO
Financial Sector Specialist Analyst
Bank of Canada
Ottawa, ON
- Full-time
advanced quantitative and programming proficiency in one or more statistical or analytical languages (e.g., Python, VBA, and Matlab), and/or ability to leverage tools for data extraction…
Added 6 days ago
A
Engineering Team Lead
Analyticsmart
Toronto, ON
- $160,000 to $180,000 CAD / year
Lead and manage a team of React.js (front-end), Node.js, Python (back-end), and full-stack developers, ensuring alignment with project goals and technical standards.
Added 6 days ago
Manager, Unsecured Credit Risk
Scotiabank
Toronto, ON
This position combines strong technical execution with business acumen and effective communication to translate portfolio performance into actionable insights for senior stakeholders.
Added 6 days ago
T
Sr Consultant, Analytics Consulting
TransUnion
Burlington, ON
- Full-time
Advanced analytical and programming capabilities using R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud-based platforms.
Added 6 days ago
T
SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
As part of the Reporting Platform team, you will be a key developer supporting a business-critical reporting ecosystem used across TBSM. The platform includes a large-scale SQL data…
Added 6 days ago
T
Senior Technology Resilience and Availability Management Analyst
TD
Toronto, ON
- Full-time
Experience with automation and infrastructure-as-code tools such as Python, or PowerShell.
Added 6 days ago
T
Solutions Design IT Specialist
TD
Toronto, ON
- Full-time
Databricks (Lakehouse Architecture); Apache Spark; PySpark; Python; SQL (Advanced)
Added 6 days ago
D
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC · Complexe Desjardins Montréal
- Full-time
Programming knowledge using Python, SQL, SAS, R, C++, MATLAB or equivalent technologies
Added 6 days ago
S
Business System Analyst
SPECTRAFORCE
Toronto, ON
- $75 to $80 CAD / hour
- Contract
Experience with programming or scripting languages (e.g., Python, SQL, PowerShell).
Added 6 days ago
A
Engineering Team Lead
Analyticsmart
Toronto, ON
- Full-time
· Lead and manage a team of React.js (front-end), Node.js, Python (back-end), and full-stack developers, ensuring alignment with project goals and technical standards.
Added 6 days ago
FM
Full Stack Developer - FNV Diagnostics Cloud
Ford Motor Company
Waterloo, ON
- Full-time
Minimum 4 years of experience working with relational databases (such as SQL server).
Added 6 days ago
RB
Associate Director, Global Risk Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity, to facilitate the effective management of the bank's market…
Added 6 days ago
T
Database Developer
TechDoQuest
Toronto, ON
- Contract
Experience with cloud-based database services (e.g., AWS RDS, Azure SQL Database, Google Cloud Spanner) is a plus.

TELUS Digital

GCP Cloud Engineer

Remote, Canada

Remote

$90,000 to $95,000 CAD / year · Full-time

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Job details

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

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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