Kubernetes / AKS Engineer

We're looking for a hands-on Kubernetes / AKS Engineer to support production Azure environments and help power AI-driven applications. This is a real-world operations role - ideal for someone who has owned Kubernetes environments in production, not just built pipelines.

What You'll Do

• Deploy, manage, and troubleshoot AKS clusters
• Handle Kubernetes networking, ingress, storage, and scaling
• Support containerized applications in production
• Monitor performance and resolve live environment issues
• Work with Azure infrastructure - VMs, networking, monitoring
• Partner with engineering teams supporting AI/ML workloads

Do you have experience in Terraform?, * Strong hands-on experience with Kubernetes (K8s) in production

• Direct experience with Azure Kubernetes Service (AKS)
• Solid understanding of networking, scaling, and cluster operations
• Experience with Azure cloud environments
• Strong troubleshooting and production support mindset
• Experience with Docker and Linux environments
• Exposure to AI/ML workloads (Azure OpenAI, Azure ML, etc.)

Nice to have:

• CKA certification
• Terraform, Helm, or CI/CD tooling
• Monitoring tools - Prometheus, Grafana, Azure Monitor

Pay: From $65.00 per hour

Experience:

• Exposure to AI/ML workloads (Azure OpenAI, Azure ML, etc.): 2 years (Required)
• Kubernetes (K8s) on both on-prem and Azure (AKS): 4 years (Required)

License/Certification:

• Certified Kubernetes Administrator (Preferred)

From $65 an hour - Contract