Mechanical Reliability Engineer - Predictive Maintenance

Srg Global; Queensland; On-site; AUD 90,000 - 140,000; Full time

Job summary

SRG Global is seeking a Mechanical Reliability Engineer to join our maintenance and engineering team in Australia. You will develop reliability strategies and lead condition-monitoring programs to improve equipment availability and reduce downtime.

The role requires a mechanical engineering degree with 3–8 years in reliability, strong data-analysis skills, and experience with CMMS and predictive maintenance. Travel to remote, heavy industrial sites will be frequent.

Qualifications

• Bachelor’s degree in mechanical engineering with 3–8 years in reliability, maintenance, or mechanical engineering.
• Experience with condition monitoring techniques (vibration, oil, thermography) and rotating/static equipment failures.
• Familiarity with CMMS and data analysis; strong problem-solving and teamwork skills.
• Assets: vibration analysis, lubrication, thermography, or CMRP/ARP-P certification; travel to remote sites.

Responsibilities

• Develop and implement reliability-centred maintenance (RCM) strategies for mechanical assets.
• Lead condition monitoring programs: vibration, oil analysis, thermography, ultrasonics, and predictive methods.
• Analyze data to identify issues and recommend corrective actions; perform RCFA and implement solutions.
• Collaborate with maintenance and operations to optimise asset plans and shutdowns.
• Support capital projects and continuous improvement; complete defect elimination studies with field tools.

Skills

Condition monitoring

Vibration analysis

Oil analysis

Thermography

Predictive maintenance

Root cause analysis

Education

Bachelor's degree in mechanical engineering

Tools

RCM

FMECA

RCA

CMMS

Job description

SRG Global is seeking a Mechanical Reliability Engineer to join our maintenance and engineering team in Australia. You will develop reliability strategies and lead condition-monitoring programs to improve equipment availability and reduce downtime.

The role requires a mechanical engineering degree with 3–8 years in reliability, strong data-analysis skills, and experience with CMMS and predictive maintenance. Travel to remote, heavy industrial sites will be frequent.