Reliability Engineer

OMNI STAFFING LLC
Houston, TX, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$110,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Operational Data Store Diagnostic Tools Software Troubleshooting

Job description

We are seeking a Reliability Engineer to support monitoring and diagnostics across a fleet of advanced gas and steam turbines. This role focuses on identifying early equipment degradation, analyzing performance trends, and providing technical recommendations to improve overall asset reliability., * Monitor and assess gas and steam turbine performance using time-series data and diagnostic tools

  • Analyze vibration, combustion, thermal, and operational data to identify abnormal trends
  • Evaluate and validate anomaly detection outputs from analytics or AI-based systems
  • Support and lead root cause analysis (RCA) for trips, outages, and performance issues
  • Provide clear, actionable recommendations on equipment condition and corrective actions
  • Develop and refine diagnostic methodologies, alarm strategies, and reliability processes
  • Produce technical reports outlining equipment condition and risk exposure
  • Support rapid response to abnormal operating events or forced outages

Requirements

Do you have experience in Vibration analysis?, * Bachelor’s degree in Engineering (Mechanical preferred) or equivalent experience

  • 7+ years of experience in gas turbines, steam turbines, or rotating equipment
  • Strong understanding of failure modes (vibration, rotor dynamics, combustion, thermal loading, bearings, seals)
  • Experience analyzing condition monitoring data (vibration, temperature, etc.)
  • Strong troubleshooting and root cause analysis capabilities
  • Ability to communicate technical findings clearly

Preferred

  • Combined cycle power plant experience
  • OEM or fleet engineering background
  • Experience with predictive analytics or condition monitoring platforms

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