Note: The job is a remote job and is open to candidates in USA. INFOTRON is seeking an early-career GCP AI / Cloud Engineer to build and maintain Google Cloud infrastructure and support Generative AI workloads. The role focuses on Terraform-based infrastructure, Vertex AI, RAG, LLM applications, cloud security, deployment, monitoring, and troubleshooting in classified environments.
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
Skills
- 1–3 years
- Active U.S. Secret Security Clearance Required
- 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
- The ability and willingness to obtain it within 30 days
- Google Cloud Associate Cloud Engineer certification
- Active U.S. Secret Security Clearance
- CompTIA Security+, or ability to obtain within 30 days
- Candidates must be authorized to work in the United States
- 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
- Fully remote work arrangement
Company Overview