Advanced Software Engr

We are seeking a highly skilled and experienced Vibration Analytics SME to join our reliability and asset integrity team. The ideal candidate will be responsible for leading vibration analysis initiatives, diagnosing rotating equipment issues, and implementing predictive maintenance strategies to enhance equipment reliability and reduce unplanned downtime across upstream, midstream, or downstream operations.

• Bachelor s or Master s degree in Mechanical Engineering, Reliability Engineering, or a related field.
• Minimum 8 10 years of experience in vibration analysis within the oil & gas or heavy industrial sector.
• Certified Vibration Analyst (Category II or higher) ISO or equivalent.
• Strong understanding of rotating equipment design, operation, and failure modes.
• Proficiency in vibration analysis software (e.g., Emerson AMS, SKF, Bently Nevada, PRUFTECHNIK).
• Familiarity with CMMS and data integration platforms (SAP, OSIsoft PI, etc.).
• Excellent problem-solving, communication, and leadership skills.

Preferred Skills:

• Experience with machine learning or advanced analytics in condition monitoring.
• Knowledge of other PdM technologies (infrared, ultrasound, oil analysis).
• Field experience in offshore or hazardous environments.

Key Responsibilities:

• Serve as the technical authority on vibration analysis for rotating and reciprocating equipment (e.g., pumps, compressors, turbines, motors).
• Analyze vibration data to detect and diagnose mechanical faults such as imbalance, misalignment, bearing wear, and resonance.
• Develop and optimize condition monitoring programs using vibration and other predictive maintenance technologies (e.g., ultrasound, thermography).
• Collaborate with maintenance, operations, and engineering teams to recommend corrective actions and long-term solutions.
• Lead root cause failure analysis (RCFA) for vibration-related failures.
• Provide training and mentorship to junior analysts and technicians.
• Evaluate and implement advanced analytics tools, including AI/ML-based platforms for predictive maintenance.
• Ensure compliance with industry standards (e.g., ISO 10816, API 670) and internal reliability guidelines.