Description:
We are seeking a highly skilled Senior DevOps / ML Ops Engineer to lead core infrastructure responsibilities across DevOps, MLOps, and IT/security. Location: Palo Alto, CA (Onsite Mon Thu) Type: Contract-to-Hire or Full-Time Duration: 6 months (extension/CTH likely) Responsibilities: Manage Kubernetes clusters, including GPU resource scheduling, scaling, and performance optimizationBuild and maintain automated ML pipelines (Kubeflow, Ray, etc.)Support internal tools (Google Workspace, GitLab, CI
Feb 2, 2026;
from:
dice.com