Predictive Reliability Engineer: Data-Driven Asset Optimizer

SRG Global Ltd; Australia; Remote; AUD 100,000 - 130,000; Full time

Job summary

SRG Global Ltd in Australia is seeking an experienced Mechanical Reliability Engineer to contribute to maintenance and engineering excellence. You will focus on improving equipment reliability, optimizing maintenance strategies, and ensuring long-term mechanical integrity of plant assets.

A key emphasis will be condition monitoring and data-driven reliability improvements using predictive technologies, precision maintenance, and root cause analysis to minimise downtime and maximise performance.

Qualifications

• Degree in mechanical engineering is required.
• 3–8 years of reliability, maintenance or mechanical engineering experience.
• Experience with condition monitoring technologies (vibration, oil analysis, thermography).

Responsibilities

• Develop reliability-centred maintenance strategies for mechanical assets.
• Lead condition monitoring programs including vibration analysis, thermography, oil analysis, and ultrasonic testing.
• Analyse condition data to identify issues and recommend corrective actions.
• Perform RCFA and implement sustainable reliability solutions.
• Collaborate with maintenance and operations to optimise asset maintenance plans.
• Support shutdowns, overhauls, and equipment upgrades.
• Identify continuous improvement initiatives to reduce maintenance costs.
• Provide reliability insights for capital and improvement projects.
• Complete defect elimination studies using multi-channel data acquisition (vibration, strain, displacement, temperature, pressure, and other inputs).

Skills

Condition monitoring

Vibration analysis

Oil analysis

Thermography

RCM/RCFA/RCA

Predictive maintenance analytics

CMMS experience

Education

Bachelor's degree in mechanical engineering

Tools

CMMS

Job description

SRG Global Ltd in Australia is seeking an experienced Mechanical Reliability Engineer to contribute to maintenance and engineering excellence. You will focus on improving equipment reliability, optimizing maintenance strategies, and ensuring long-term mechanical integrity of plant assets.

A key emphasis will be condition monitoring and data-driven reliability improvements using predictive technologies, precision maintenance, and root cause analysis to minimise downtime and maximise performance.