Lead Specialist, Engineering and Virtualization

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.

1. Why This Role Matters

The Lead Specialist, Engineering and Virtualization II enables the organization's Data & AI strategy by delivering resilient, scalable, and secure platform engineering and virtualization capabilities. The role creates the technical foundation required to support advanced analytics, artificial intelligence solutions, enterprise applications, and digital transformation initiatives.

The role drives platform reliability, performance optimization, and technology standardization across the Data & AI ecosystem. By strengthening infrastructure capabilities and virtualization services, the role improves operational efficiency, accelerates service delivery, reduces technology risk, and enhances the organization's ability to scale emerging digital solutions.

Through technical expertise and collaboration across technology functions, the role ensures that platform environments remain secure, available, and aligned with business growth requirements while supporting innovation and operational excellence.

2. What You Will Deliver

Platform Engineering & Infrastructure Excellence

Deliver secure, scalable, and high-performing virtualization and platform environments that support business-critical applications and Data & AI services.
Optimize platform capacity, availability, and performance to ensure reliable service delivery across the organization.
Strengthen infrastructure resilience through proactive lifecycle management and continuous platform enhancement.
Data & AI Platform Enablement

Enable Data & AI workloads through robust platform architecture, virtualization technologies, and infrastructure services.
Accelerate deployment and integration of data platforms, analytics solutions, and AI capabilities.
Ensure platform environments support evolving business and technology requirements.
Operational Excellence

Improve service stability through effective monitoring, automation, and performance optimization practices.
Reduce infrastructure complexity and operational inefficiencies through standardization and process improvement.
Enhance operational responsiveness through effective incident resolution and root cause management.
Governance, Risk & Security

Maintain compliance with enterprise technology, cybersecurity, and infrastructure standards.
Strengthen platform security by implementing appropriate controls, vulnerability mitigation, and access governance practices.
Minimize operational and technology risks through proactive assessment and corrective action.
Innovation & Continuous Improvement

Drive adoption of emerging virtualization, cloud, and platform engineering technologies that improve organizational capability.
Identify opportunities to automate infrastructure management and improve service delivery efficiency.
Promote technical best practices and continuous improvement across the technology landscape.
Stakeholder Collaboration & Capability Building

Build effective partnerships with technology teams, vendors, and business stakeholders to ensure platform effectiveness.
Provide technical leadership and subject matter expertise on virtualization and platform engineering initiatives.
Develop organizational capability through knowledge sharing and technical guidance.
3. What Success Looks Like

High platform availability and service reliability across Data & AI environments.
Improved infrastructure utilization, scalability, and operational efficiency.
Reduced service disruptions through proactive monitoring, automation, and risk management.
Strong compliance with cybersecurity, technology governance, and operational standards.
Successful delivery of platform enhancements that enable data, analytics, and AI initiatives.
Increased stakeholder confidence and satisfaction with platform performance and service quality.
4. Minimum Qualifications

Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline.
5. Experience

8-12 years of relevant experience in platform engineering, virtualization, cloud infrastructure, or enterprise technology environments.
Experience supporting large-scale enterprise infrastructure and mission-critical business applications.
Experience in Data & AI platform environments, analytics infrastructure, or digital transformation programs.
Experience leading complex technical initiatives and cross-functional technology engagements.
6. Skills That Matter

Functional Expertise

Platform Engineering
Virtualization Technologies
Cloud Infrastructure & Services
Infrastructure Architecture
Systems Integration
Performance Monitoring & Optimization
Business & Delivery

Service Delivery Management
Project Execution
Technology Governance
Risk & Compliance Management
Vendor Management

Benefits

1. Career Growth
2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness