GCP / AI Cloud Engineer

INFOTRON

1d•$60,000 - $120,000•Remote

About The Position

We are seeking a GCP AI / Cloud Engineer with hands-on experience in Google Cloud Platform, Infrastructure as Code, and Generative AI technologies. The ideal candidate will have experience building and deploying cloud-based solutions using GCP, Terraform, Vertex AI, RAG, and LLM technologies. This role is suited for an early-career cloud/AI engineer who can work across cloud infrastructure and emerging AI workloads while following security and compliance requirements.

Requirements

1-3 years of relevant professional experience in cloud engineering, DevOps, AI/ML engineering, or a related technical field
Hands-on experience with Google Cloud Platform (GCP)
Familiarity with Terraform and Infrastructure as Code (IaC)
Experience with GCP-native cloud services
Experience with Vertex AI
Experience with Retrieval-Augmented Generation (RAG) concepts and implementations
Experience with LLM development or Generative AI applications.
Active U.S. Secret Security Clearance
Google Cloud Associate Cloud Engineer certification
CompTIA Security+ certification required, or the ability and willingness to obtain it within 30 days

Nice To Haves

Experience deploying AI/ML workloads in GCP
Familiarity with cloud security principles and secure infrastructure practices
Experience with CI/CD and automated cloud deployments
Familiarity with containerization and Kubernetes
Experience working with APIs, Python, or other programming languages used for AI/cloud development
Experience with vector databases, embeddings, and document retrieval pipelines
Understanding of IAM, networking, logging, monitoring, and security controls within GCP

Responsibilities

Design, deploy, and maintain cloud infrastructure using Google Cloud Platform (GCP).
Develop and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices.
Work with GCP-native services to build scalable, reliable, and secure cloud solutions.
Develop and support AI/ML and Generative AI applications using Vertex AI.
Build and integrate Retrieval-Augmented Generation (RAG) solutions.
Work with Large Language Models (LLMs) and contribute to LLM-powered applications and services.
Assist with cloud architecture, deployment, configuration, monitoring, and troubleshooting.
Implement cloud security and infrastructure best practices.
Collaborate with engineering and technical teams to develop and deploy cloud and AI solutions.
Troubleshoot infrastructure, application, and deployment issues across GCP environments.
Follow security, compliance, and operational requirements associated with classified environments.