Senior DevOps Engineer, AI Platform

📋 Description

• Translate application and platform technical designs into reliable, secure, scalable, and
• Design, provision, operate, and troubleshoot Kubernetes environments, primarily using Azure
• Build and support infrastructure for AI workloads, including LLM gateways, Python-based agent
• Design and manage cloud networking, including virtual networks, subnets, routing, NAT, load
• Operate infrastructure supporting web applications, APIs, databases, caches, queues, scheduled
• Build and maintain CI/CD pipelines using Jenkins and Bitbucket, integrating Docker, Helm

🎯 Requirements

• 7+ years of professional experience in DevOps, Site Reliability Engineering, Platform Engineering
• Strong hands-on experience operating production Kubernetes environments, including expertise in
• Strong Microsoft Azure experience, particularly with AKS, networking, identity, storage, and
• Deep understanding of cloud networking concepts, including virtual networks, subnets, routing, NAT
• Proven experience with Jenkins, Bitbucket, Docker, Terraform, Helm, Kubernetes, and Infrastructure
• Experience supporting production web applications and backend services, including REST APIs

🎁 Benefits

• Full-time, fully remote position available across Canada.
• Opportunity to work on infrastructure supporting modern AI platforms, agent systems, RAG workloads
• High-impact role with significant ownership over production infrastructure, reliability
• Opportunity to work across Microsoft Azure and Oracle Cloud Infrastructure.
• Exposure to modern technologies including Kubernetes, Terraform, Helm, ArgoCD, Docker
• Collaborative environment working closely with AI engineers, application engineers, architects, and