Lead Specialist, Engineering and Virtualization

Job description

The role enables the Data & AI strategy by delivering resilient, scalable, and secure platform engineering and virtualization capabilities. It ensures platform reliability, performance optimization, and technology standardization across the Data & AI ecosystem. Responsibilities include optimizing capacity and availability, strengthening infrastructure resilience, enabling Data & AI workloads, improving service stability through monitoring and automation, maintaining compliance and security, driving adoption of emerging virtualization and cloud technologies, and collaborating with technology teams, vendors, and business stakeholders.

Requirements

• proficient in platform engineering
• proficient in virtualization technologies
• knowledge of cloud infrastructure and services
• experience in infrastructure architecture
• experience in systems integration
• proficient in performance monitoring and optimization
• knowledge of service delivery management
• proficient in risk and compliance management
• experience in vendor management
• bachelor's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering or related field
• 8-12 years experience in platform engineering, virtualization, cloud infrastructure or enterprise technology environments
• experience supporting large-scale enterprise infrastructure and mission-critical applications
• experience in Data & AI platform environments, analytics infrastructure or digital transformation programs
• experience leading complex technical initiatives and cross-functional engagements

Skills