Principal Platform Engineer

📋 Description Design, deploy, and maintain elastic GCP infra with Kubernetes for ML workloads. Build automated ML pipelines using Jenkins, GitHub Actions, or Airflow. Implement observability to track drift, accuracy, latency, and degradation. Bridge data/ML, backend, and frontend engineers for production ops. ML observability: monitor feature drift, accuracy, and data shifts. Architect and lead the infra strategy for Production ML on Google Cloud. 🎯 Requirements 8-10+ yrs in DevOps/Platform Eng; 2+ yrs in prod ML workloads. GCP (VPC-SC, IAM, policies) and GKE (Helm, Kustomize, ArgoCD). Istio (VirtualServices, mTLS) and Kong API Gateway. Terraform with Atlantis/GitOps across large estate. Identity/secrets: Auth0, Dex, ESO, or SOPS. Airflow in production; ML serving (Triton, MLflow); English proficiency. 🎁 Benefits See your impact every day in a fast-paced team. Opportunities to learn new technologies and products. Work with talented people who value your contribution. Inclusive, discrimination-free workplace.