Infrastructure Support Engineer Jobs in Saudi Arabia

• 15 - 20 Years
• Dammam - Saudi Arabia

Lead infrastructure authority, ensure project delivery, manage vendor relationships, and validate design compliance with strong technical expertise in infrastructure technologies.

• 1 - 3 Years
• Riyadh - Saudi Arabia

Support and maintain network infrastructure, troubleshoot issues, manage incidents, and ensure compliance with security policies; requires networking knowledge and strong commun...

• 7 - 14 Years
• Riyadh - Saudi Arabia

Seeking a Senior Infrastructure Consultant to design, implement, and support banking infrastructure, ensuring compliance and high availability with strong technical skills.

• 3 - 4 Years
• Jeddah - Saudi Arabia

Design and implement system architectures, monitor performance, collaborate on technology integration, and maintain documentation; requires a degree in Computer Science or Engin...

• 5 - 7 Years
• Riyadh - Saudi Arabia

Administer and deploy Dell EMC storage solutions, integrate with virtualization, and automate operations while ensuring performance and disaster recovery policies.

• 5 - 10 Years
• Riyadh - Saudi Arabia

Install, configure, and maintain Linux servers, automate tasks, and ensure system security while collaborating with teams and troubleshooting issues.

• 1 - 7 Years
• Saudi Arabia - Saudi Arabia

Lead infrastructure operations, manage NOC and Data Center, ensure system performance, and possess experience in Systems Administration and Network Security.

• 4 - 9 Years
• Jeddah - Saudi Arabia

Design scalable AWS architectures, lead solution lifecycle, ensure compliance with cybersecurity regulations, and support integrations while optimizing cloud environments.

• 1 - 3 Years
• Riyadh - Saudi Arabia

Lead infrastructure projects, manage multidisciplinary teams, ensure compliance with engineering standards, and engage stakeholders in urban refurbishment programs.

• 3 - 8 Years
• Eastern Province - Saudi Arabia

Design and manage high-performance AI infrastructure, optimize resource allocation, and collaborate with data scientists to support machine learning applications.