Description

Lead the design and implementation of a metrics-driven DevOps model to support large-scale ML/AI model deployments on Google Cloud Platform.

Responsibilities

• Design and deploy critical infrastructure and networking using Infrastructure as Code (IaC).
• Orchestrate backing services through Kubernetes using Helm.
• Build and maintain continuous delivery pipelines using GCP Cloud Build for models, IaC, and backend services.
• Manage high-compute environments and big-data services for industry-grade AI/ML models at scale.

Required Skills

• 7+ years of DevOps and DevSecOps experience.
• 7+ years of Google Cloud Platform (GCP) architecture experience.
• 3+ years of Machine Learning experience.
• 3+ years of Kubernetes experience.
• Proficiency with Infrastructure as Code (IaC) and Helm.
• Experience with GCP Cloud Build.
• Bachelor's degree.
• Ability to obtain a public trust clearance (US citizenship required).

Key Skills

Education

Any Graduate