Platform Engineer

I’m looking for a Platform Engineer to build and operate the infrastructure behind modern AI workloads. You’ll work with Kubernetes, AKS, Docker, Terraform and CI/CD, while supporting MLOps platforms such as MLflow or Kubeflow. Your responsibilities will also include GPU infrastructure, cluster autoscaling, vector databases and integration with enterprise environments. If you have strong infrastructure skills and want to work closer to AI/ML, let’s connect. 🚀 Project - building and operating infrastructure supporting AI/ML workloads - managing Kubernetes environments, particularly AKS, and Docker - automating infrastructure using Terraform, OpenTofu, or Pulumi - building and maintaining CI/CD and GitOps processes using GitLab CI, GitHub Actions, and/or ArgoCD - working with MLflow, Kubeflow, or similar MLOps platforms - managing GPU infrastructure, GPU provisioning, and cluster autoscaling - setting up and maintaining vector databases and distributed storage solutions - integrating modern AI platforms with existing enterprise and legacy environments 🎯 Skills - 4+ years in Platform Engineering, DevOps or Infrastructure Engineering - 1–2+ years supporting AI/ML workloads - strong Kubernetes and Docker experience - strong IaC experience, particularly Terraform - CI/CD and cloud experience - hands-on experience running infrastructure for AI/ML solutions 💡 Nice to have - Azure/AKS - GPU workloads - MLflow/Kubeflo - vector databases - banking/enterprise experience