Mars Inc.

Mars Inc.

Maintenance Technician - 12 hour Night Shift - $2,500 Sign on Bonus

USA-Ohio-Lewisburg

No sponsorshipDetected 8 days ago
ExcelGMPCommunicationProblem Solving

About the role

  • This position does not offer visa sponsorship.
  • The Maintenance Technicians are multi-skilled system experts in their assigned area, and are highly functional in multiple areas.
  • The Technicians must also ensure efficiency, operational conformance, product quality and continuous improvement.

Responsibilities

  • Able to assess equipment operating reliability and perform routine repairs, adjustments and malfunction troubleshooting.
  • Perform routine electrical and mechanical problem-solving on process & packaging equipment.
  • Understand and implement calibration on defined equipment within area ownership.
  • Support Operations in equipment setup, changeover and training of operators in Autonomous Maintenance (AM) activities.
  • Provide enthusiastic support where needed and complete other duties as assigned by
  • Be willing to learn and engage in other functional groups to support them and your development.
  • Work as part of the CVS team to ensure equipment and processes perform as designed.
  • Creation of preventative maintenance documents and schedules for equipment in areas as assigned.
  • Review spare parts and support in the sourcing of critical spares

Requirements

  • Must demonstrate experience with mechanical-electrical skills
  • shift handoffs demonstrating a reliable member of the team, punctual attendance is required.

Compensation

  • An industry-competitive salary and benefits package, including company bonus.

Company info

  • Performing work orders as part of the planned schedule of Mx tasks and executing to those plans with proper close out of work orders
  • Performing work orders as part of reactive line calls and closure of work orders.

Visa & Work Authorization

  • This position does not offer visa sponsorship.

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