Senior DevOps Engineer, AI Platform

Location: Remote in Canada

Company

hirify.global helps businesses establish and protect their online presence through domain, brand, website, security, and digital infrastructure services.

What you will do

• Translate technical designs into reliable, scalable, secure, and observable production cloud infrastructure across Microsoft Azure and Oracle Cloud Infrastructure.
• Design, provision, operate, and troubleshoot Kubernetes environments, primarily Azure Kubernetes Service and Oracle Kubernetes Engine.
• Support AI workloads including LLM gateways, Python agent runtimes, RAG workers, MCP services, background workers, and asynchronous processing pipelines.
• Manage networking and platform dependencies including ingress and egress, load balancers, DNS, TLS, private connectivity, routing, firewalls, databases, caches, queues, and scheduled jobs.
• Build CI/CD pipelines with Jenkins and Bitbucket using Docker, Helm, Kubernetes, ArgoCD, and container registries.
• Own observability, production readiness, incident troubleshooting, root cause analysis, scalability, reliability, and infrastructure cost optimization.

Requirements

• 7+ years of experience in DevOps, SRE, platform engineering, cloud infrastructure, or a related role.
• Strong production Kubernetes experience, including networking, scheduling, storage, autoscaling, security, and troubleshooting.
• Strong Microsoft Azure experience with AKS, networking, identity, storage, and monitoring; OCI experience is preferred.
• Experience with Jenkins, Bitbucket, Docker, Terraform, Helm, Kubernetes, and infrastructure as code.
• Experience supporting production web applications and backend services, including REST APIs, microservices, background workers, databases, caching, and messaging systems.
• Strong Linux, systems, production troubleshooting, observability, and application infrastructure knowledge, including Python and backend frameworks such as FastAPI.

Nice to have

• Experience with AI or machine learning platforms, LLM gateways, agent runtimes, RAG pipelines, or MCP services.
• Experience with Cloudflare, Envoy, ArgoCD, GitOps, and OpenTelemetry.
• Experience building reusable infrastructure platforms for high-scale SaaS or customer-facing applications.

Culture & Benefits

• Hands-on ownership of infrastructure delivery from design through UAT and production.
• Close collaboration with AI engineers, application engineers, architects, and platform teams.
• Focus on reusable infrastructure patterns that help engineering teams launch services consistently.