Senior AI/ML Infra DevOps Lead - Remote Canada

Jobgether; Canada; Remote; CAD 130,000 - 165,000; Full time

Benefits offered by this job

Fully remote Canada

Competitive salary

Professional development

Long-term opportunity

Job summary

Jobgether is seeking a Principal DevOps Engineer (AI/ML Infrastructure) based in Canada to architect and lead scalable, secure AI/ML infrastructure within a SaaS platform.

You will drive automation, container orchestration, and production-grade pipelines, collaborating with researchers and engineers while mentoring the team. This fully remote role offers leadership impact and advanced cloud tooling exposure.

Qualifications

• 5+ years in DevOps, ML infra, or platform engineering with leadership.
• 5+ years on AWS/Azure/GCP and AI/ML services.
• Hands-on with Kubeflow/MLflow/SageMaker.
• 5-8+ years of Docker/Kubernetes for AI workloads.
• Programming in Python/Go/Bash with automation focus.
• Infrastructure-as-code with Terraform/Ansible.
• CI/CD pipelines with GitHub Actions/GitLab/Jenkins.
• Strong DevOps, security, and scalable infra knowledge.
• Excellent communication and collaboration across teams.

Responsibilities

• Architect and lead scalable, secure AI/ML infrastructure.
• Build and optimize CI/CD pipelines for AI/ML apps.
• Design cloud-based AI/ML infra using containers/orchestration.
• Automate provisioning, deployment, testing, and ops workflows.
• Collaborate with researchers, engineers, and data scientists.
• Ensure reliability, security, and performance of systems.
• Mentor junior engineers and promote best practices.

Skills

AWS / Azure / GCP

Leadership

CI/CD automation

Automation scripting

Security best practices

Communication

Mentoring

Tools

Kubeflow

MLflow

SageMaker

Docker

Kubernetes

GitHub Actions

GitLab CI/CD

Jenkins

Terraform

Ansible

Python

Go

Bash

Job description

Jobgether is seeking a Principal DevOps Engineer (AI/ML Infrastructure) based in Canada to architect and lead scalable, secure AI/ML infrastructure within a SaaS platform.

You will drive automation, container orchestration, and production-grade pipelines, collaborating with researchers and engineers while mentoring the team. This fully remote role offers leadership impact and advanced cloud tooling exposure.