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Added 14 mins ago
Senior Full Stack Engineer / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
Part-time
We are seeking a Senior Full Stack Engineer with strong hands-on experience in Java, Spring Boot, REST APIs, microservices, automated testing, and modern software engineering practices. The…
Added 30 mins ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 30 mins ago
Principal Engineer (Director) Cloud
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Canada Life is seeking a Principal Engineer (Director level) to drive our adoption of Cloud. This role will be pivotal in building and operationalizing modern cloud platforms and…
Added 44 mins ago
Network Engineer
Tekgence Inc
Toronto, ON
Contract
- Cloud & Hybrid DNS Architecture – Experience designing and managing scalable DNS solutions across AWS, Azure, and hybrid environments.
Added 44 mins ago
AI Infrastructure Engineer
Mission.dev
Canada
Full-time
The platform enhances token throughput and reduces latency by optimizing hardware utilization and decoding processes within a customer's cloud environment.
Added 44 mins ago
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…
Added 44 mins ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Full-time
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 44 mins ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and…
Added 44 mins ago
Connected Vehicle Diagnostic Eng - AI/ML
KYYBA Inc
Ottawa, ON · Kanata, ON
Contract
…This initiative sits at the intersection of embedded systems, cloud services, diagnostics, observability, and AI/ML engineering. Do you want to help define the future of AI-enabled…
Added 45 mins ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and…
Added 45 mins ago
Senior Software Engineer in Test
Okta
Toronto, ON
Experience with continuous integration (CircleCI or equivalent), containers (Docker, Kubernetes), and a major cloud platform such as AWS
Added 1 hour ago
Associate Director - Lead Application Support Specialist, GED Support
Royal Bank of Canada
Toronto, ON
Full-time
As a Application Support Engineer for our Quantitative Investment Services, you'll take ownership of the reliability and performance of mission-critical trading platforms. This is more than…
Added 1 hour ago
Senior Software Engineer in Test
Okta
Toronto, ON
$118,000 to $162,000 CAD / year
Full-time
Experience with continuous integration (CircleCI or equivalent), containers (Docker, Kubernetes), and a major cloud platform such as AWS
Added 1 hour ago
Sr Platform Engineer -Azure/Databricks
Galent
Toronto, ON
Contract
Role : Sr Platform Engineer -Azure/Databricks
Added 1 hour ago
Backup & Recovery Engineer - Managed Services
MNP
Montreal, QC
Full-time
Lead onboarding and migration projects involving backup platform deployment and modernization.
Added 1 hour ago
Backup & Recovery Engineer - Managed Services
MNP
AB · Edmonton, AB
Full-time
Lead onboarding and migration projects involving backup platform deployment and modernization.
Added 1 hour ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 1 hour ago
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
7-9 years of experience in cyber security, software engineering, cloud engineering, or platform engineering, including a minimum of 4 years in a cyber security role.
Added 1 hour ago
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 1 hour ago
Jr. Software Engineer - Java, Angular, JavaScript
Motorola Solutions
Quebec, QC · Gatineau, QC · ON
Full-time
Knowledge of at least one cloud platform (AWS, Azure, GCP) Practical knowledge of one or more of these technologies (at least on a basic level): Spring Boot, Angular, Terraform, Kubernetes
Added 1 hour ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 1 hour ago
M365 Engineer
McKesson
Mississauga, ON
Full-time
McKesson is seeking a M365 Engineer to design, implement, and support enterprise collaboration technologies that enable secure, reliable, and scalable digital workplace experiences. This…
Added 1 hour ago
Back End Developer
Envision Technology Solutions
Toronto, ON
Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 1 hour ago
Technology Developer
Purolator
ON · Mississauga, ON
This role will build and maintain the backend services behind our high-volume logistics and tracking platform. This critical service feeds systems where correctness, throughput, and…
Added 2 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…

Volgo Technologies

AI Platform Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

Apply About employer

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Original job description

Job Title: AI Platform Engineer – GCP / DevOps

Location: Toronto, ON, Canada

Work Model: Hybrid

Duration: Contract

Domain: Insurance

Job Description

We are looking for a highly skilled AI Platform Engineer with strong GCP and DevOps expertise to design, build, deploy, and maintain scalable cloud platforms supporting AI/ML and fraud detection initiatives. The ideal candidate will have hands-on experience with Google Cloud Platform, Kubernetes, Terraform, CI/CD, cloud-native infrastructure, and AI/ML platform deployment.

The role will work closely with data scientists, ML engineers, software engineers, security teams, and architects to build reliable and secure platforms for fraud detection and risk analytics.

Key Responsibilities

Design and implement scalable AI/ML platforms on Google Cloud Platform (GCP).
Build and maintain cloud infrastructure using Terraform / Infrastructure as Code.
Deploy and manage containerized workloads using Kubernetes / GKE.
Develop and maintain robust CI/CD pipelines for application and ML model deployment.
Automate infrastructure provisioning, configuration, deployment, and operational processes.
Support the deployment and operationalization of machine learning models and AI workloads.
Work with ML/Data Science teams to establish reliable model development and deployment pipelines.
Implement monitoring, logging, alerting, and observability across GCP environments.
Apply DevSecOps practices across infrastructure and deployment pipelines.
Ensure cloud platforms meet enterprise requirements for security, scalability, reliability, and performance.
Troubleshoot infrastructure, deployment, networking, and production issues.
Collaborate with engineering and architecture teams to establish platform standards and best practices.
Optimize cloud infrastructure for performance and cost.
Support environments across development, QA, staging, and production.

Required Technical Skills

GCP / Cloud

Strong hands-on experience with Google Cloud Platform
GKE / Kubernetes
Compute Engine
Cloud Storage
BigQuery
Pub/Sub
IAM
Cloud Monitoring / Logging
VPC / networking

DevOps / Platform Engineering

Strong DevOps / Platform Engineering background
Terraform
CI/CD pipelines
GitHub Actions / GitLab CI / Jenkins
Docker
Kubernetes
Helm
Git

AI / ML Platform

Experience supporting AI/ML workloads in cloud environments
ML model deployment and operationalization
MLOps concepts
Experience with model serving / inference platforms
Familiarity with Python and ML frameworks is preferred
Experience integrating AI/ML platforms with enterprise applications

Observability & Security

Cloud monitoring and logging
Prometheus / Grafana or equivalent
Application and infrastructure observability
IAM and cloud security
Secrets management
DevSecOps practices

Preferred Skills

Experience in Insurance / Financial Services
Experience with Fraud Detection / Fraud Analytics / Risk Platforms
Experience working with regulated enterprise environments
Experience with MLOps platforms
Vertex AI experience
Python scripting
ArgoCD / GitOps
Ansible
Service mesh technologies
Experience with API platforms and microservices

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More about this job

Responsibilities

Design, build, and operate secure, scalable AI/ML platforms on GCP, including infrastructure as code, Kubernetes deployments, CI/CD pipelines, and model operationalization. Establish monitoring and security practices, troubleshoot production issues, optimize performance and cost, and collaborate with data science, engineering, and architecture teams.

Requirements

The role requires strong hands-on GCP and DevOps/platform engineering experience, including Terraform, Kubernetes/GKE, CI/CD, and cloud infrastructure operations. Candidates should have experience supporting AI/ML workloads and model deployment, with knowledge of observability, cloud security, and DevSecOps; Python and ML frameworks are preferred.

Skills

Google Cloud Platform
Kubernetes
Google Kubernetes Engine
Terraform
CI/CD
Docker
Helm
Git
GitHub Actions
GitLab CI
Jenkins
AI/ML Platform Deployment
MLOps
Python
Cloud Security
Observability

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
GKE
Kubernetes
Compute Engine
Cloud Storage
BigQuery
Pub/Sub
IAM
Cloud Monitoring
Cloud Logging
VPC
Terraform
Infrastructure as Code
CI/CD
Docker
Helm
Git
GitHub Actions
GitLab CI
Jenkins
AI/ML
MLOps
Model Serving
Python
Prometheus
Grafana
DevSecOps
Vertex AI
ArgoCD
Fraud Detection

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