Lead Specialist, Engineering and Virtualization

Ma'aden Aluminium Company (MAC); Medina; On-site; SAR 300,000 - 460,000; Full time

Job summary

Ma'aden Aluminium Company (MAC) is seeking a Lead Specialist in Engineering and Virtualization to advance the Data & AI strategy. You will deliver resilient platform engineering and virtualization capabilities, ensuring secure, scalable environments for analytics, AI, and enterprise applications.

The role emphasizes reliability, performance, and standardization across the data ecosystem. The position requires extensive experience in platform engineering, virtualization, cloud infrastructure, and

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline.
• 8-12 years of relevant experience in platform engineering, virtualization, cloud infrastructure, or enterprise technology environments.
• Experience leading complex technical initiatives and cross-functional technology engagements.

Responsibilities

• 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.
• Accelerate deployment and integration of data platforms, analytics solutions, and AI capabilities.
• Enable Data & AI workloads through robust platform architecture, virtualization technologies, and infrastructure services.
• Improve service stability through monitoring, automation, and performance optimization practices.

Skills

Platform Engineering

Virtualization

Cloud Infrastructure

Infrastructure Architecture

Systems Integration

Performance Monitoring

Governance & Security

Vendor Management

Project Execution

Stakeholder Collaboration

Education

Bachelor's degree in Computer Science/IT/CE/Software Engineering

Job description

1 Why This Role Matters

The Lead Specialist Engineering and Virtualization II enables the organization s Data amp 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 amp 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 amp Infrastructure Excellence Deliver secure scalable and high-performing virtualization and platform environments that support business-critical applications and Data amp 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 amp AI Platform Enablement Enable Data amp 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 amp 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 amp 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 amp 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 amp 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

6 Skills That Matter

Functional Expertise Platform Engineering Virtualization Technologies Cloud Infrastructure amp Services Infrastructure Architecture Systems Integration Performance Monitoring amp Optimization Business amp Delivery Service Delivery Management Project Execution Technology Governance Risk amp Compliance Management Vendor Management 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.