Technical Specialist - Reliability Core

Overview

As Technical Specialist - Reliability Core, provide expert technical leadership in reliability engineering, maintenance strategy development, and asset performance improvement. Lead complex reliability studies and improvement initiatives, provide consulting and facilitation, assure study quality, coach practitioners, and support effective use of analytics, digital tools, and emerging AI capabilities.

What you'll do

• Apply RCM, FMEA, RAM analysis, Weibull analysis, Fault Tree Analysis, and lifecycle cost analysis to support technical decisions.
• Identify recurring equipment failures, bad actors, and performance gaps, and lead structured reliability improvement activities.
• Lead or support Root Cause Failure Analysis and Causal Learning investigations for significant or repeat equipment failures.
• Develop technically robust, proportionate-to-risk, and practical recommendations for asset teams.
• Capture lessons learned and improve reliability work processes, tools, and ways of working.
• Apply advanced reliability statistical techniques to evaluate failure behaviour, predict equipment performance, and optimize maintenance strategies.
• Perform Weibull Analysis, Crow-AMSAA Reliability Growth Modelling, and other probabilistic analyses.
• Develop and use Monte Carlo Simulations to quantify uncertainty, assess risk scenarios, and support asset investment and lifecycle decisions.
• Conduct Remaining Useful Life assessments and degradation modelling for predictive maintenance, asset health monitoring, and intervention planning.
• Lead Asset Life Extension studies by evaluating equipment condition, failure risk, operating context, and life-cycle economics.
• Translate statistical findings into recommendations that improve availability, reliability, maintenance effectiveness, and business value.
• Analyse equipment and maintenance data and develop or support reliability KPIs, dashboards, and analytical insights.
• Identify opportunities for predictive maintenance, asset health monitoring, and AI-enabled reliability solutions.
• Collaborate with digital, analytics, and data science teams to translate reliability challenges into value-focused solutions.
• Support adoption of digital reliability tools, intelligent agents, and data-driven workflows.
• Provide expert review and technical assurance for reliability studies, maintenance strategies, and improvement recommendations.
• Challenge assumptions, data quality, and proposed actions constructively.
• Guide selection and application of reliability methods and act as a subject matter expert for complex reliability and maintenance strategy challenges.
• Coach engineers and practitioners and contribute to reliability capability development.
• Facilitate multidisciplinary workshops involving Operations, Maintenance, Engineering, Inspection, and Technical Authorities.
• Provide technical coaching and mentorship, influence stakeholders, and drive implementation of recommendations.
• Interface with global asset teams, OEMs, vendors, and subject matter experts.

What you'll need

• Bachelor's degree in mechanical, Electrical, or Instrumentation Engineering.
• Minimum 10 years of relevant industry experience in Oil & Gas, Petrochemical, Power, Chemical, Manufacturing, or a related asset-intensive environment.
• Reliability Centered Maintenance (RCM).
• Preventive Maintenance Optimization (PMO).
• Root Cause Failure Analysis (RCFA).
• Failure Modes & Effects Analysis (FMEA).
• Reliability, Availability & Maintainability (RAM).
• Mange Threat & Opportunity (MTO).
• Reliability Living Program.
• Reliability Statistical Analysis.
• Weibull Analysis.
• Reliability Growth Analysis.
• Probability Distributions and Failure Modelling.
• Reliability Forecasting.
• Uncertainty and Sensitivity Analysis.
• Reliability data analysis and performance trending.
• Development of reliability KPIs and dashboards.
• SAP PM/MM and enterprise asset management systems.
• Data-driven maintenance optimization methodologies.
• Understanding of AI and machine learning applications in asset reliability.
• Experience supporting predictive maintenance, asset health monitoring, or AI-enabled reliability initiatives.
• Ability to work with digital, analytics, and data science teams to deliver business value.

Details

• Location: SHELL CENTRE – CHENNAI, Chennai, Tamil Nadu, India.
• Worker type: Regular.
• Job family group: Maintenance, Reliability and Turnarounds.
• Business unit: Integrated Gas.
• The role supports operating assets across Oil & Gas, Petrochemical, Power, and Energy environments.