Added
4 hours ago
Location
Type
Full time
Salary
Salary not provided

Related skills

terraform kubernetes gcp airflow istio

📋 Description

  • Design, deploy, and scale GCP-based infra for ML workloads.
  • Build CI/CD pipelines for training, testing, and deploying ML models.
  • Model monitoring: drift, accuracy, latency, and production health.
  • Collaborate with data/ML, backend and frontend teams for production ops.
  • ML observability: monitor ML metrics and data shifts.
  • Deploy tools to empower teams to monitor workloads; participate in on-call.

🎯 Requirements

  • Senior 8-10+ years in DevOps/Platform Eng; 2+ yrs prod ML.
  • GCP & Kubernetes mastery: IAM, VPC-SC; GKE.
  • Service Mesh: Istio and API Gateways (Kong).
  • Infrastructure as Code: Terraform with Atlantis/GitOps.
  • Secrets & Identity: Auth0, Dex, ESO, or SOPS.
  • Data/ML Tooling: Airflow in prod; ML serving (Triton/MLflow).
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Related Engineering Jobs

See more Engineering jobs →