Technical Specialist - Reliability Core

What’s The Role

As Technical Specialist - Reliability Core, you will provide expert technical leadership in reliability engineering, maintenance strategy development, and asset performance improvement. You will lead complex Reliability Centered Maintenance (RCM) studies and reliability improvement initiatives across operating assets, turning equipment history, risk information, and operational insight into practical maintenance and improvement strategies.

This is a hands-on specialist role with a strong consulting and facilitation element. You will work with multidisciplinary asset teams, challenge technical assumptions constructively, assure the quality of reliability studies, and coach others in the effective application of reliability methods. You will also help teams make better use of analytics, digital tools, and emerging AI capabilities where these can deliver clear business value.

What You’ll Be Doing

Reliability Strategy & Asset Care

Reliability Engineering & Continuous Improvement

Apply reliability methods such as RCM, FMEA, RAM analysis, Weibull analysis, Fault Tree Analysis, and lifecycle cost analysis to support sound technical decisions. Identify recurring equipment failures, bad actors, and performance gaps, and lead structured reliability improvement activities to address them. Lead or support Root Cause Failure Analysis and Causal Learning investigations for significant or repeat equipment failures. Develop recommendations that are technically robust, proportionate to risk, and practical for asset teams to implement. Capture lessons learned and use them to improve reliability work processes, tools, and ways of working.

Reliability Statistical Analysis

Apply advanced reliability statistical techniques to evaluate failure behaviour, predict equipment performance, and support maintenance strategy optimization. Perform Weibull Analysis, Crow-AMSAA Reliability Growth Modelling, and other probabilistic methods to assess failure patterns, reliability trends, and system improvement opportunities. Develop and utilize Monte Carlo Simulations to quantify uncertainty, assess risk scenarios, and support asset investment and lifecycle decisions. Conduct Remaining Useful Life (RUL) assessments and degradation modeling to support predictive maintenance, asset health monitoring, and intervention planning. Lead Asset Life Extension (ALE) studies by evaluating equipment condition, failure risk, operating context, and life-cycle economics to support safe and reliable operation beyond original design life. Translate statistical findings into actionable recommendations that improve asset availability, reliability performance, maintenance effectiveness, and business value.

Reliability analytics, digital and AI solutions

Analyse equipment and maintenance data to identify failure trends, reliability risks, bad actors, and optimization opportunities. Develop or support reliability KPIs, dashboards, and analytical insights that enable timely and informed decision-making. Use reliability statistics and modelling to support maintenance, risk, and investment decisions. Identify practical 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 usable, value-focused solutions. Support adoption of digital reliability tools, intelligent agents, and data-driven workflows, with appropriate attention to data quality and user needs.

Technical leadership and assurance

Provide expert review and technical assurance for complex reliability studies, maintenance strategies, and reliability improvement recommendations. Challenge assumptions, data quality, and proposed actions constructively to improve the quality of technical decisions. Provide guidance on the appropriate selection and application of reliability methods for different business problems. Act as a trusted subject matter expert for complex reliability and maintenance strategy challenges. Coach engineers and practitioners and contribute to the development of reliability capability across the organization.

Stakeholder Engagement

Facilitate multidisciplinary workshops involving Operations, Maintenance, Engineering, Inspection, and Technical Authorities. Provide technical coaching and mentorship in reliability methodologies and best practices. Influence stakeholders and drive implementation of reliability recommendations. Interface with global asset teams, OEMs, vendors, and subject matter experts to deliver reliability improvements.

Business Impact

The role supports operating assets across Oil & Gas, Petrochemical, Power, and Energy environments. Your work will contribute to safer and more reliable operations through improved asset availability, stronger maintenance effectiveness, reduced repeat failures, better risk management, and optimized lifecycle cost.

What You Bring

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.

Core Reliability Competencies

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 Analytics & Digital Skills

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.

AI & Emerging Digital Capabilities

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.

What We Offer

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.

Progress as a person as we work on the energy transition together.Continuously grow the transferable skills you need to get ahead.Work at the forefront of technology, trends, and practices.Collaborate with experienced colleagues with unique expertise.Achieve your balance in a values-led culture that encourages you to be the best version of yourself.Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.Grow as you progress through diverse career opportunities in national andinternational teams.Gain access to a wide range of training and development programmes.

After you submit your application, you will receive an email providing a link to an online assessment that is a mandatory part of the process. The email will come from HireVue - please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell.