Computing Systems Management Engineer

About the Role

We are seeking a motivated and skilled Systems Management Engineer to join our team. The person will support our digital transformation initiatives, manage and optimize cloud infrastructure on AWS, and work with AI / automation components to ensure scalable, secure, and efficient computing systems.

Key Responsibilities

• Design, deploy, monitor, and maintain cloud infrastructure on AWS to support company systems and applications
• Implement and manage AWS services (e.g. EC2, S3, RDS, VPC, IAM, Lambda, etc.) in line with best practices for security, reliability, and cost-efficiency I
• Contribute to the planning and execution of digital transformation initiatives: integrating new AI-powered tools, automating workflows, modernizing legacy systems
• Develop and maintain system management tools and processes (monitoring, backups, failover / recovery, scaling strategies)
• Automate infrastructure provisioning & configuration (Infrastructure as Code, e.g. CloudFormation, Terraform or AWS-native tooling)
• Monitor system health, usages, performance metrics; troubleshoot issues in production / staging; optimize performance under load
• Participate in security & compliance tasks for systems — applying policies, managing access controls, vulnerability assessments
• Collaborate with AI / ML / Data teams to support deployment of AI-related services or components
• Assist with migration of on-premises or legacy systems to cloud, or upgrading legacy infrastructure toward modern architectures
• Document system architecture, standard operating procedures (SOPs), runbooks, incident response plans
• Participate in “on-call” or rotating duty to respond to system outages or critical incidents

Experience

2-3 years of hands-on experience in systems / cloud engineering on AWS or equivalent cloud platform

Preferred / Nice-to-Have

• AWS Certifications (e.g. AWS Certified Associate / SysOps / Cloud Practitioner)
• Experience with AI / ML deployment frameworks (e.g. AWS SageMaker or other AI cloud services)
• Experience with containerization (Docker), microservices, serverless architectures
• Experience with DevOps / DevSecOps tooling and processes
• Familiarity with data-oriented systems (databases, analytics pipelines, data-ingestion workflows)
• Experience working in digital transformation or modernization projects (legacy migration, automation of business processes)

Soft Skills & Attributes

• Must be proficient in arabic
• Highly analytical, detail-oriented, strong organizational skills
• Self-starter who can work independently, but also collaborate well in dynamic teams
• Ability to work under pressure and respond to incidents / outages in a timely manner
• Commitment to learning new technologies and keeping up to date with cloud / AI trends

Job Type: Full-time