Senior Software Engineer -devops Engineer - Ai-led Transformation @ CGI

Design and maintain CI/CD pipelines for AI/ML model training, testing, and deployment.
Manage cloud infrastructure (AWS, GCP, or Azure) optimized for AI workloads.
Automate infrastructure provisioning using Terraform, CloudFormation, or Ansible.
Support containerization (Docker) and orchestration (Kubernetes) of ML services.
Implement monitoring and alerting solutions (Prometheus, Grafana, ELK, Datadog).
Collaborate with AI teams to streamline workflows and ensure production readiness.
Ensure scalability, performance, and security across DevOps practices.
Troubleshoot infrastructure issues and conduct root cause analysis.

Must-Have:
4-5 years in a DevOps role, preferably supporting AI/ML systems.
Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
Proficiency in Infrastructure as Code (Terraform, Ansible, CloudFormation).
Hands-on expertise with Docker and Kubernetes in production.
Cloud platform experience (AWS, GCP, or Azure).
Strong scripting skills (Bash, Python).
Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack, or Datadog). Good-to-Have:
Experience with ML tools like MLflow, Kubeflow, SageMaker, or DVC.
Familiarity with AI/ML pipeline design and model versioning.
Understanding of security best practices in cloud DevOps environments. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.