Ma'adenLead Specialist, Engineering and Virtualization
Ma'aden is hiring a Lead Specialist, Engineering and Virtualization in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
AI in this role
Deliver resilient, scalable platform engineering and virtualization capabilities to support the organization's Data and AI strategy.
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 Growth2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness
How we rate this
Lead Specialist, Engineering and Virtualization at Ma'aden rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where data ai platforms was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Walk me through how you've used Virtualization in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Platform Engineering, Infrastructure, Data AI Platforms, Automation, and Virtualization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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