Senior DevOps Engineer for AI Platforms
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Summary
Builds and operates secure, scalable cloud infrastructure for AI platforms in Winnipeg — translating technical designs into production environments using Kubernetes, CI/CD, cloud networking, and observability, while supporting AI workloads, cost optimization, and incident response.
Elevate cloud infrastructure for AI platforms as a Senior DevOps Engineer in Canada. Your expertise in Kubernetes, CI/CD, and cloud automation will ensure scalable and reliable environments.
In this role, you will impact the deployment and operation of critical AI applications. The position demands a strong command of cloud networking and observability while working with engineers and developers. Your responsibilities will include translating technical designs into production-ready solutions, ensuring security, scalability, and optimal resource management.
Key Responsibilities: • Build and operate cloud infrastructure for AI applications • Translate designs into secure and scalable environments • Support AI workloads and comprehensive platform capabilities • Collaborate with engineers on infrastructure delivery • Focus on production reliability and incident response
Requirements: • Expertise in Kubernetes and cloud networking • Proficiency in infrastructure automation and CI/CD • Strong understanding of observability principles • Experience in managing AI workloads and services • Ability to optimize costs and enhance security
Make your mark on cutting-edge AI infrastructure as a Senior DevOps Engineer.
In this role, you will impact the deployment and operation of critical AI applications. The position demands a strong command of cloud networking and observability while working with engineers and developers. Your responsibilities will include translating technical designs into production-ready solutions, ensuring security, scalability, and optimal resource management.
Key Responsibilities: • Build and operate cloud infrastructure for AI applications • Translate designs into secure and scalable environments • Support AI workloads and comprehensive platform capabilities • Collaborate with engineers on infrastructure delivery • Focus on production reliability and incident response
Requirements: • Expertise in Kubernetes and cloud networking • Proficiency in infrastructure automation and CI/CD • Strong understanding of observability principles • Experience in managing AI workloads and services • Ability to optimize costs and enhance security
Make your mark on cutting-edge AI infrastructure as a Senior DevOps Engineer.