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Cloud Infrastructure Architect

2 months ago

Charlotte, North Carolina, United States Smart IT Frame LLC Full time
Job Description

**Job Title:** Infrastructure Engineer

**Company:** Smart IT Frame LLC

**Location:** Remote (NC)

Job Summary

We are seeking an experienced Infrastructure Engineer to join our team. The ideal candidate will have a strong background in cloud infrastructure, software engineering, and DevOps practices.

Key Responsibilities
  • Design, build, and maintain scalable and secure cloud infrastructure on Google Cloud Platform (GCP)
  • Develop and implement Infrastructure as Code (IaC) tools, such as Terraform and GitHub
  • Collaborate with cross-functional teams to ensure seamless integration with other systems and services
  • Provide expert-level support for cloud infrastructure, including troubleshooting and optimization
  • Stay up-to-date with the latest cloud technologies and best practices
Requirements
  • 5+ years of experience in software engineering or a related field
  • 3+ years of experience working with GCP and IaC tools
  • 2+ years of hands-on experience with Terraform and GitHub
  • Strong understanding of GCP networking services, including VPC, VPN, Cloud Interconnect, and Cloud Load Balancing
  • Knowledge of cloud service offerings, such as Data, Analytics, AI/ML on GCP
  • Demonstrated experience with at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook
  • In-depth knowledge of network protocols, security, and compliance standards
  • Experience with scripting and automation tools for network provisioning and configuration
  • Knowledge of cloud service offerings on Security, Data Protection, and Security policy implementations
  • Basic understanding of cloud computing concepts, such as landing zone and Blueprints
Desired Qualifications
  • Cloud certification on GCP
  • Experience with Agile, CI/CD, DevOps concepts, and Site Reliability Engineer (SRE) principles
  • Proficient in container-based solution services, with experience handling large-scale Kubernetes-based infrastructure buildouts
  • Experience in scripting (Shell, Python)