Principal Platform Engineer

Job Description

Senior Platform Engineer We’re hiring a Senior Platform Engineer – ML Infrastructure in the AI/ML infrastructure and deep-tech industry . We’re seeking an experienced engineer to join our core infrastructure team. This role will be critical in designing and scaling the foundational systems that power AI products. If you're passionate about building robust, efficient, and innovative ML infrastructure, we’d love to hear from you. What you’ll do Design, build and operate scalable ML & data infrastructure across on‑prem and cloud (AWS/Azure/GCP). Stand‑up and automate multi‑node Kubernetes + GPU clusters; keep them healthy and cost‑efficient. Create golden‑path CI/CD & MLOps pipelines (Kubeflow/Flyte/Ray) for training, serving, RAG and agentic workflows. Partner with ML engineers to debug thorny CUDA/K8s issues before they hit prod. Champion IaC (Terraform/Pulumi) and config‑as‑code (Ansible) standards. Mentor developers on platform best‑practices and drive a platform‑first mindset. What makes you a great fit 5 + yrs DevOps/SRE/Platform engineering; 2 + with ML infra at scale. Deep hands‑on with Docker, Kubernetes, Helm and kube‑native tooling. Comfort with distributed GPU scheduling, CUDA drivers and networking. Strong Terraform/Pulumi, Ansible, Bash/Python skills. Experience operating data lakes, high‑availability databases and object stores. Familiarity with ML orchestration (Kubeflow, Flyte, Prefect) and model registries. Working knowledge of RAG, LLM fine‑tuning or agentic frameworks is a big plus. Nice to have Experience with Ray, Spark, or Dask. Security & RBAC design chops. OSS contributions in the cloud‑native / MLOps space. Skills: Data,ML,Computing Show more Show less