[Hiring] GCP / AI Cloud Engineer @INFOTRON

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Remote position.