DevOps Platform Engineer in Toronto
Posted
Summary
A DevOps Platform Engineer in Toronto designs and operates multi-account AWS infrastructure with Terraform, CI/CD pipelines, Docker/Kubernetes, and IAM security to support developer platforms for AI/LLMOps workloads.
Elevate your career as a DevOps Platform Engineer in Toronto, ON, specializing in infrastructure for AI and LLMOps. Join us in designing scalable, secure AWS environments that power advanced developer platforms.
As a key member of our team, you will bridge cloud-native Platform Engineering with innovative AI/LLMOps solutions. This sought-after role emphasizes skills in CI/CD operations, container orchestration, and security best practices. You will be building multi-account AWS environments and automated pipelines that support autonomous developers and AI frameworks.
Key Responsibilities: • Architect and manage multi-account AWS infrastructure using Terraform • Deploy enterprise developer platforms with agentic orchestration frameworks • Implement advanced AWS IAM architectures for security • Package and orchestrate containers with Docker and Kubernetes • Establish observability for AI workloads and CI/CD pipelines
Requirements: • 3–5+ years in platform engineering and cloud architecture • Proficiency in Python for tooling and API integrations • Experience with AWS cloud-native deployments • Mastery of AWS IAM security structures • Solid understanding of AI/LLMOps engineering
Your experience in cloud architecture and CI/CD will drive our innovative solutions.
As a key member of our team, you will bridge cloud-native Platform Engineering with innovative AI/LLMOps solutions. This sought-after role emphasizes skills in CI/CD operations, container orchestration, and security best practices. You will be building multi-account AWS environments and automated pipelines that support autonomous developers and AI frameworks.
Key Responsibilities: • Architect and manage multi-account AWS infrastructure using Terraform • Deploy enterprise developer platforms with agentic orchestration frameworks • Implement advanced AWS IAM architectures for security • Package and orchestrate containers with Docker and Kubernetes • Establish observability for AI workloads and CI/CD pipelines
Requirements: • 3–5+ years in platform engineering and cloud architecture • Proficiency in Python for tooling and API integrations • Experience with AWS cloud-native deployments • Mastery of AWS IAM security structures • Solid understanding of AI/LLMOps engineering
Your experience in cloud architecture and CI/CD will drive our innovative solutions.