DevOps Engineer – ML & Data Infrastructure

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee, configure, and automate cloud infrastructure utilizing tools like Terraform and Ansible

• Develop CI/CD pipelines for machine learning models and data workflows

• Create and sustain scalable data and feature pipelines

• Establish infrastructure for monitoring and observing models

• Enhance inference performance

• Ensure overall system reliability, scalability, and efficiency

• Define and execute best practices for infrastructure

• Resolve complex issues impacting ML/Data pipelines

⛳️ Requirements

• Minimum of 3 years of experience as a DevOps Engineer

• Strong practical experience with Google Cloud Platform (GCP)

• Proficient in Terraform (experience with Ansible is a plus)

• Solid understanding of containerization technologies (Docker, Kubernetes)

• Experience in building and managing CI/CD pipelines

• Strong knowledge of monitoring and logging best practices

• Scripting skills in Python, Groovy, or Shell

• Familiarity with AI orchestration frameworks (such as LangGraph or LangChain) is advantageous