Lead Platform Engineer

Lead Platform / DevOps / MLOps Engineer Build the platforms that enable AI to run in the real world We’re hiring a Lead Platform / DevOps / MLOps Engineer to design and operate a Kubernetes‑based MLOps platform powering production AI and LLM workloads. This is a hands‑on technical leadership role — not people management. You’ll sit at the intersection of platform engineering and machine learning, enabling teams to deliver AI safely and at scale. 🔍 Why this role? You won’t just run Kubernetes — you’ll turn it into a usable ML platform. This is about real production impact, not experimentation in isolation. ⚙️ What you’ll do Build and operate MLOps platforms on KubernetesEnable model training, deployment, and scalable inferenceImplement tooling (e.g. Kubeflow, KServe, LLM serving stacks)Support data scientists in real production workflowsOwn reliability, security, and operability of the platform ✅ What you’ll bring Strong Platform / DevOps engineering backgroundDeep Kubernetes + Terraform + Helm experienceProven experience building usable internal platformsExposure to MLOps, model serving, or LLM workloadsPragmatic mindset focused on usability and outcomes 👉 If you enjoy building platforms that engineers actually want to use — and enabling AI at scale — apply now.