Job Title: AI Platform Engineer – GCP / DevOps

Location: Toronto, ON, Canada

Work Model: Hybrid

Duration: Contract

Domain: Insurance

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

- Solid 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

📌 AI Platform Engineer (Toronto)
🏢 Volgo Technologies
📍 Toronto