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AI DevSecOps Engineer

Experis

 

San Antonio, TX, USA

Posted On: 4 days ago
Experience: 7+ years
Availability: Remote
Openings: 1
Category: AI DevSecOps Engineer
Tenure: No Preference/Any
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Description

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

This role is remote.

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).

Education

Any Graduate

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