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Reliability Engineer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: OMNI STAFFING
Full Time position
Listed on 2026-05-24
Job specializations:
  • Engineering
    Mechanical Engineer, Energy Engineer, Electrical Engineering, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Reliability Engineer

Location:

South Houston, TX
Type:
Full-Time

Overview

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.

Responsibilities
  • 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
  • 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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