At a Glance
- Tasks: Operate heavy machinery like haul trucks and excavators while ensuring safety and efficiency.
- Company: Join a leading company in heavy machinery operations in Clarence, Australia.
- Benefits: Earn $32.32/hour with a Monday-Friday schedule and opportunities for growth.
- Other info: Professional and reliable candidates will thrive in this dynamic environment.
- Why this job: Be part of exciting projects in autonomous technology and field operations.
- Qualifications: 5+ years of heavy machinery experience and a clean driving record required.
The predicted salary is between 32.32 - 32.32 $ per hour.
Hiring HEAVY MACHINERY OPERATORS in Clarence, Australia for a full-time, in-person position paying $32.32/hour, Monday-Friday, 9:00 AM-5:00 PM.
Operators will support field operations, vehicle testing, and autonomous technology development by safely operating 40-ton articulated haul trucks, excavators, bulldozers, and Ford Raptors. Duties also include vehicle inspections, completing DVIRs, reporting maintenance issues, supporting hardware/software testing, and providing feedback to engineering teams while maintaining strict safety standards.
Applicants should have 5+ years of verified heavy machinery operation experience, be comfortable driving and backing large vehicles, and have a clean driving record. A commercial driver's license is preferred but not required.
Candidates must be professional, reliable, safety-focused, able to pass a background check and road test, and comfortable learning new tools and autonomous technology systems.
Heavy Machinery Operator employer: Trucking Talent Solutions
Join a dynamic team in Clarence, Australia, where we prioritise safety and innovation in heavy machinery operations. As a Heavy Machinery Operator, you'll enjoy competitive pay, a supportive work culture that values professional growth, and opportunities to engage with cutting-edge autonomous technology. Our commitment to employee development ensures you can advance your skills while contributing to exciting projects in a collaborative environment.
