Urwah Admin

Quest Global

<div>Job Requirements 
 
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace &amp; defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries. 
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we&rsquo;re eager to hear from you. 
The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:<div> 
What You will Do: 
<ul><li>Build and maintain integrated project schedules</li></ul></div><ul><li>Create critical path analyses</li><li>Understand dependencies across workstreams</li><li>Manage milestone tracking</li><li>Produce executive status reporting</li><li>Support Tollgates, Go-Live readiness, and rollout planning</li><li>Using Microsoft Project, Jira Advanced Roadmaps</li><li>Facilitate Daily Scrums</li><li>Sprint Planning</li><li>Sprint Reviews</li><li>Retrospectives</li><li>Backlog refinement</li><li>Dependency management</li><li>RAID log maintenance</li><li>Velocity tracking</li><li>Agile coaching</li><li>Build executive dashboards</li><li>Sprint metrics</li><li>Test execution dashboards</li><li>Risk dashboards</li><li>Capacity planning reports</li><li>Integrate Jira, SAP, Excel, and SharePoint data sources</li><li>Create automated KPI reporting</li></ul>
What You Will Bring:<ul><li>Certified Scrum Master (CSM) or PSM</li><li>3+ years of Scrum Master experience</li><li>Jira Expertise</li><li>Agile portfolio reporting</li><li>Strong scheduling experience</li><li>Critical Path Method (CPM)</li><li>Integrated Master Schedule (IMS)</li><li>Resource planning</li><li>Risk management</li><li>Power BI</li><li>SQL (preferred)</li><li>Excel Power Pivot</li><li>Executive reporting</li><li>Can challenge the team when dates are unrealistic</li><li>Communicates clearly with leadership</li><li>Strong facilitator</li><li>Self-starter</li><li>Works across business and IT 
</li></ul>Pay Range: $75000 to $90000 
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan. 
Work Requirements:
This role is considered an on-site position located in Charlotte, NC<ul><li>
You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.</li><li>
Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs.</li></ul> 
Benefits 
 
Full-time (Regular)<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Referral program</li><li>Vision insurance</li><li>Short/Long Term Disability</li></ul></div>

Agile Project Planning & Reporting Lead

<div>Job Requirements 
 
Job Description &ndash; Technical Project Lead
The Project Lead is responsible for leading cross-functional engineering teams and delivering software, cloud, digital, data, and AI-driven projects within agreed scope, schedule, budget, and quality targets. The Project Lead drives day-to-day project execution, Agile delivery, team coordination, risk management, and stakeholder communication.
Roles and Responsibilities<ul><li>
Lead end-to-end delivery of software, cloud, digital, data, and AI/GenAI projects while ensuring adherence to scope, schedule, quality, and budget commitments</li><li>
Manage multiple projects and priorities while effectively balancing resources, risks, and dependencies</li><li>
Drive Agile delivery using Scrum, Kanban, or hybrid methodologies and facilitate Agile ceremonies</li><li>
Work closely with technical leads, product owners, and stakeholders to prioritize work and ensure timely delivery</li><li>
Monitor project KPIs, sprint metrics, project financials, and provide regular status updates to management</li><li>
Coordinate cross-functional teams including developers, QA, DevOps, data engineers, and AI teams</li><li>
Identify project risks, issues, and bottlenecks, and implement appropriate mitigation and recovery plans</li><li>
Ensure compliance with organizational processes, quality standards, audits, and governance requirements</li><li>
Manage customer communication, stakeholder expectations, escalations, and project reporting</li><li>
Lead team onboarding, performance management, mentoring, and employee development activities</li><li>
Promote continuous improvement, engineering best practices, automation, DevOps, and AI-assisted productivity initiatives</li></ul>
Required Qualifications<ul><li>
Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or related field</li><li>
10&ndash;12 years of experience in software development and project delivery</li><li>
Minimum 4&ndash;5 years of experience leading technical or cross-functional teams</li></ul>
Required Skills<ul><li>
Strong understanding of Software Development Life Cycle (SDLC) and project delivery methodologies</li><li>
Experience in Agile frameworks including Scrum and Kanban</li><li>
Knowledge of cloud, digital, data analytics, AI or GenAI project delivery</li><li>
Experience in project planning, estimation, risk management, resource planning, and budget tracking</li><li>
Strong stakeholder management, customer communication, and presentation skills</li><li>
Good people management, mentoring, conflict resolution, and team leadership abilities</li><li>
Familiarity with Jira, Azure DevOps, Confluence, MS Office, and project management tools</li></ul>
Preferred Certifications<ul><li>
Any project management or equivalent Agile certifications</li></ul> 

Work Experience 
 
Agile, Scrum, Kanban, Project Planning, Estimation, SDLC, Communication and Presentation Skills, JIRA, Azure DevOps, Confluence, MS Office, Cloud, Digital, AI Projects</div>

Technical Project Lead

<div>
 
 Job Requirements
 
 
 
 At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
 
 
 We are looking for an experienced
 
 AI/ML Engineer
 
 to design, develop and deploy machine learning algorithms on embedded platforms for the next generation automotive infotainment systems.
 
 
 In this pivotal role, you will develop solutions, design and lead solution implementations that enhance our offerings.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, train, and optimize AI/ML models for real-time, edge-based deployment.
 </li>
 <li>
 Design, implement, and optimize Retrieval-Augmented Generation (RAG) workflows and fine-tune large language models (LLMs) to build scalable, secure, and production-ready enterprise GenAI applications.
 </li>
 <li>
 Work with multi-modal data sources (audio, vision, sensor, telematics) to build robust AI systems.
 </li>
 <li>
 Develop end-to-end pipelines for data preprocessing, model training, evaluation, and deployment.
 </li>
 <li>
 Implement algorithms optimized for embedded and resource-constrained platforms
 </li>
 <li>
 Validate AI models with real-world automotive datasets.
 </li>
 <li>
 Perform model optimization (quantization, pruning) for deployment on embedded SoCs
 </li>
 <li>
 Collaborate with system architects, Application developers, and automotive domain experts to ensure end-to-end functionality
 </li>
 <li>
 Stay up to date with AI/ML advancements and automotive industry trends.
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 
 Required Skills (Technical Competency):
 
 
 
 <ul>
 <li>
 4&ndash;5 years of proven development experience in AI/ML for embedded device
 </li>
 <li>
 Strong expertise in deep learning frameworks (TensorFlow, PyTorch, ONNX, TensorRT).
 </li>
 <li>
 Expert proficiency with open-source infrastructure tools like llama.cpp, vLLM, Ollama, and NVIDIA Triton Inference Server for local model serving, high-throughput inference, and quantization.
 </li>
 <li>
 Hands-on experience building complex, stateful workflows and tracking applications using LangChain, LangGraph, and Langfuse.
 </li>
 <li>
 Expertise in selecting, benchmarking, and adapting state-of-the-art open-source architectures (such as Llama 3, gemma, Qwen, and Kimi) for enterprise tasks
 </li>
 <li>
 Practical experience with edge/embedded AI (NVIDIA Jetson, Qualcomm, ARM).
 </li>
 <li>
 Proficiency in NLP / Conversational AI / Speech interfaces ( ASR, TTS )
 </li>
 <li>
 Solid programming skills in Python and C++/Java for optimization and integration.
 </li>
 <li>
 Solid understanding of application development in embedded Linux / Android
 </li>
 <li>
 Familiarity with automotive standards, protocols such as CAN
 </li>
 <li>
 Familiarity with cloud ML services like AWS SageMaker or Azure ML
 </li>
 <li>
 Good communication skills and great team spirit.
 
 
 </li>
 </ul>
 
 Desired Skills
 
 
 
 <ul>
 <li>
 Experience working with embedded Linux, Automotive Android
 </li>
 <li>
 Knowledge of vehicle data interfaces (CAN, OBD-II, sensors).
 </li>
 <li>
 Exposure to LLMOps &amp; MLOps pipelines and cloud platforms (AWS/GCP/Azure).
 </li>
 </ul>
</div>

AI/ML Engineer

<div>
 
 Job Requirements
 
 
 
 Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace &amp; defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
 
 
 We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we&rsquo;re eager to hear from you.
 
 
 The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk aware workflows.
 </li>
 <li>
 Own end to end delivery from prototype to production, ensuring strong data grounding, reliability, human in the loop controls, escalation paths, and graceful failure behavior in live systems.
 </li>
 <li>
 Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security, privacy, and data governance policies.
 </li>
 <li>
 Identify opportunities to automate workflows and enhance decision-making using AI-driven approaches.
 </li>
 <li>
 Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.
 </li>
 <li>
 Contribute to development of data science and AI strategy.
 </li>
 <li>
 Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities.
 </li>
 <li>
 Support intellectual property development, including publications and patents.
 </li>
 <li>
 Participate in industry forums, conferences, and technical communities.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 Work Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
 </li>
 <li>
 4+ years of experience in software or related domain.
 </li>
 <li>
 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows.
 </li>
 <li>
 Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
 </li>
 <li>
 Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.
 </li>
 <li>
 Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety controls.
 </li>
 <li>
 Working knowledge of Azure based cloud environment and Databricks.
 </li>
 <li>
 Ability to work independently and deliver end-to-end solutions.
 </li>
 <li>
 Self-directed learner with strong problem-solving skills and practical business judgment.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or higher in a STEM field.
 </li>
 <li>
 Exposure to drilling, oil &amp; gas, or industrial data environments.
 </li>
 <li>
 Experience collaborating with cross-functional teams (engineering, product, operations).
 
 
 </li>
 </ul>
 
 Pay range:
 
 
 $100K- $120K
 
 
 
 Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
</div>

Agentic AI Engineer

<div>Job Requirements 
 
At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.</li><li>
Provide electrical engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:</li></ul><ul><li>Asset operating behaviour</li><li>Electrical system design</li><li>Maintenance strategies</li><li>Failure modes</li><li>Operating envelopes and site conditions</li><li>
Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:</li></ul><ul><li>HV/MV switchgear</li><li>Transformers</li><li>Motors</li><li>Variable Frequency Drives (VFDs)</li><li>Electrical rotating equipment</li><li>Distribution systems and substations</li></ul><ul><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive model outputs with operational and condition monitoring data including:</li></ul><ul><li>Thermographic survey results</li><li>Partial discharge monitoring trends</li><li>Insulation resistance testing results</li><li>Transformer oil analysis</li><li>Power quality measurements</li><li>Historical maintenance and fault records</li></ul><ul><li>
Validate model outputs against known equipment behaviour, maintenance history, and operational conditions to improve model accuracy and reliability.</li><li>
Provide engineering input to support expansion of predictive monitoring coverage to additional electrical assets and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Monitor and manage predictive anomaly alerts for deployed electrical assets and systems.</li><li>
Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions.</li><li>
Identify early indicators of:</li></ul><ul><li>Insulation degradation</li><li>Electrical overloading</li><li>Harmonic distortion</li><li>Voltage imbalance</li><li>Partial discharge activity</li><li>Motor winding deterioration</li></ul><ul><li>
Recommend proactive maintenance and operational interventions prior to equipment failure or system instability.</li><li>
Collaborate with customer maintenance, reliability, operations, inspection, and engineering teams to plan and execute preventive and corrective activities including:</li></ul><ul><li>Infrared scanning</li><li>Insulation resistance testing</li><li>Transformer oil sampling and analysis</li><li>Partial discharge inspections</li><li>Power quality investigations</li></ul><ul><li>
Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.</li><li>
Support root cause analysis (RCA), electrical reliability improvement initiatives, and continuous optimization of maintenance strategies.</li><li>
Ensure predictive models remain aligned with actual operating conditions, maintenance practices, and asset behaviour throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned electrical asset portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.</li><li>
Track and report reliability and value realization KPIs including:</li></ul><ul><li>Transformer trips avoided</li><li>Deferred motor failures</li><li>Reduced electrical downtime</li><li>Energy efficiency improvements</li><li>Reduced maintenance costs</li></ul><ul><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders, asset owners, and project management teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.</li></ul>
Conduct periodic visits to customer plants, substations, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, reliability reviews, and stakeholder engagement. 
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. 
Work Experience 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Electrical Engineering or related engineering discipline.</li><li>
Minimum 10 years of electrical engineering experience within oil &amp; gas, petrochemical, refining, gas processing, power generation, or industrial environments.</li><li>
Hands-on experience with HV/MV electrical systems maintenance, troubleshooting, and fault diagnosis.</li><li>
Strong technical knowledge of:</li></ul><ul><li>Transformers</li><li>Switchgear</li><li>Motors</li><li>VFDs</li><li>Electrical protection systems</li><li>Power distribution systems</li></ul><ul><li>
Experience in condition monitoring, power quality analysis, or predictive maintenance programs.</li><li>
Familiarity with electrical reliability standards, insulation testing practices, and thermographic inspection methodologies.</li><li>
Experience interpreting real-time operational data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Experience supporting industrial digital transformation initiatives preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul>
Preferred Certifications<ul><li>
Chartered Electrical Engineer or equivalent professional registration preferred</li><li>
Electrical reliability or condition monitoring certifications advantageous</li><li>
Thermography or power quality certifications preferred</li></ul>
Preferred Industry Experience<ul><li>Oil &amp; Gas operators in the Middle East region</li><li>Upstream production facilities</li><li>Offshore operations</li><li>Gas processing plants</li><li>Refineries and petrochemical facilities</li><li>Industrial power and utility systems</li></ul>
Key Skills &amp; Competencies<ul><li>HV/MV electrical systems expertise</li><li>Electrical reliability and fault diagnostics</li><li>Power quality analysis</li><li>Condition monitoring and predictive maintenance</li><li>Transformer and switchgear diagnostics</li><li>Operational data interpretation and analytics validation</li><li>Root Cause Analysis (RCA)</li><li>Technical governance and stakeholder engagement</li><li>Cross-functional collaboration and advisory capability</li></ul></div>

SME – Electrical Systems

<div>Job Requirements 
 
At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster. 
<ul><li>
Provide Safety and Quality excellent across Controls Alliance</li><li>
Lead System Level Integration</li><li>
Complex Project reviewer across value streams</li><li>
Ensure Project Risks Identified</li><li>
Approve Project Risk Mitigation Plan</li><li>
Support development of system level solutions</li><li>
Lead RCAs Across Value Streams</li><li>
Establish controls standards road map for Value Stream</li><li>
Mentor and Coach Technical Architects</li><li>
Input on Technical Depth Heat Map</li><li>
Identify Technical gaps</li><li>
Develop and Teach System Level Training</li><li>
Overall Project Quality Ownership</li><li>
Share Best Practices Across Value Streams</li><li>
Design Practices</li><li>
Lead Kaizen Events</li></ul> 
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard. 
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. 
Work Experience
 
<ul><li>Bachelor's degree in engineering or higher with minimum 15 years of experience HMI / User Interface Screens Development.</li><li>
Minimum 6 years of experience in performing technical reviews</li><li>
Excellent knowledge about New Units and Services Upgrade processes</li><li>
Hands-on experience on use of physics based simulation platforms for software validation.</li><li>
Demonstrated the capability of having system level knowledge</li><li>
Demonstrated global mindset and ability to collaborate effectively across cultures</li></ul> 

Benefits 
 
Perks best in company standard as per regional laws.</div>

Senior Architect - HMI Screens Development

<div>Job Requirements 
 
At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.</li><li>
Provide reliability engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:</li></ul>
o Asset criticality
o Failure modes
o Reliability risk profiles
o Maintenance strategies
o Operational and maintenance workflows<ul><li>
Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:</li></ul>
o Rotating equipment
o Static equipment
o Electrical systems
o Process systems
o Integrity-critical assets<ul><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.</li><li>
Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.</li><li>
Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.</li><li>
Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.</li><li>
Consolidate and report realized operational value including:</li></ul>
o Downtime avoided
o Maintenance cost savings
o Production uplift
o Energy efficiency improvements
o Reduced equipment failures
o Improved equipment availability<ul><li>
Lead bad actor analysis informed by predictive model outputs and coordinate cross-functional investigations to address recurring failure patterns.</li><li>
Apply reliability engineering methodologies including:</li></ul>
o Reliability Availability Maintainability (RAM) analysis
o Failure Modes and Effects Analysis (FMEA)
o Root Cause Analysis (RCA)
o Weibull analysis
o Reliability-centered maintenance (RCM) principles<ul><li>
Validate predictive model performance and support continuous improvement of maintenance and reliability strategies.</li><li>
Develop and maintain performance dashboards and governance metrics tracking:</li></ul>
o Alert accuracy
o False positive rates
o Missed detections
o Advisory adoption rates
o Operational response effectiveness
o Reliability KPI improvements<ul><li>
Drive continuous improvement in operational adoption and usage of predictive analytics outputs by identifying workflow gaps and recommending process enhancements.</li><li>
Work closely with customer maintenance, operations, inspection, engineering, and reliability teams to integrate predictive insights into day-to-day reliability and maintenance workflows.</li><li>
Ensure predictive models remain aligned with actual operational conditions, maintenance practices, and asset performance throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned reliability and asset performance portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness across multiple engineering disciplines.</li><li>
Participate in governance meetings, technical reviews, workshops, SteerCo discussions, and value realization sessions with customer stakeholders, asset owners, PMO teams, and senior leadership.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and asset performance solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, reliability reviews, bad actor investigations, technical assessments, governance discussions, and stakeholder engagement.</li></ul> 
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. 
Work Experience 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.</li><li>
Minimum 12 years of reliability engineering experience within oil &amp; gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.</li><li>
Strong experience applying:</li></ul>
o RAM analysis
o FMEA
o RCA
o Weibull analysis
o Reliability-centered maintenance methodologies<ul><li>
Cross-discipline asset management experience spanning:</li></ul>
o Mechanical systems
o Electrical systems
o Process systems
o Integrity-critical assets<ul><li>
Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.</li><li>
Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.</li><li>
Strong understanding of maintenance and reliability workflows within industrial operating environments.</li><li>
Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul>
Preferred Certifications<ul><li>
Certified Reliability Engineer (CRE) preferred</li><li>
CMRP (Certified Maintenance &amp; Reliability Professional) advantageous</li><li>
Reliability-centered maintenance or asset management certifications preferred</li></ul>
Preferred Industry Experience<ul><li>Oil &amp; Gas operators in the Middle East region</li><li>Upstream production facilities</li><li>Offshore operations</li><li>Gas processing plants</li><li>Refineries and petrochemical facilities</li><li>LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>Reliability engineering and asset performance management</li><li>RAM, FMEA, RCA, and Weibull analysis</li><li>Predictive maintenance and bad actor management</li><li>Reliability KPI governance and value realization tracking</li><li>Operational workflow optimization</li><li>Cross-functional technical leadership</li><li>Operational data interpretation and analytics validation</li><li>Technical governance and stakeholder engagement</li><li>
Cross-disciplinary collaboration and advisory capability</li></ul></div>

SME – Reliability

Join Quest Global and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.