Lusternational

Lusternational

CEI Inspector II

Atlanta, Georgia, United States · Mid

Sponsorship not specifiedDetected 7 days ago
CommunicationCollaborationMicrosoft Office

About the role

  • About the Positions We're seeking CEI Inspector II professionals who will provide Construction, Engineering, and Inspection (CEI) services for transportation projects located in the state of Georgia.
  • Work usually involves a significant amount of decision making and use of judgment and may include providing work directions to others.
  • This post is for future roles and not for a specific opportunity that is available right now.

Responsibilities

  • May perform project engineering duties in lieu of the Project Engineer on smaller construction projects.
  • Will perform independent complex inspections of roadways and structure construction processes and materials to ensure compliance with the construction contract.
  • Will perform moderately complex inspections or supervise other inspectors conducting routine and standardized inspections.
  • May also perform a more complex variety of calculations and computations.

Requirements

  • 3+ years of progressive transportation technician experience as an employee or consultant for a State Highway Agency, or an equivalent combination of training and directly related experience.
  • Considerable knowledge of materials, methods, and equipment used in highway construction.
  • Considerable knowledge of mathematical functions, including geometry and trigonometry.
  • Ability to read, interpret, and explain construction plans, contract provisions, specifications, and inspection procedures.
  • Ability to take notes and prepare or review reports.
  • Ability to instruct other employees in proper work methods.
  • Must be licensed to operate motor vehicles in accordance with Georgia Law.
  • Proficiency with computers (e.g., Microsoft Office 365, Microsoft Outlook, internet, etc.).
  • Required Certifications

This listing is sourced directly from Lusternational's careers page and normalized into a canonical job model.