وظائف Installation And Monitoring في الإمارات

About UsThe ENTERTAINER is a leader in the Lifestyle industry providing our members with exclusive access to 2for1 vouchers for dining delivery attractions shopping and travel across the GCC and Singapore. We are dedicated to pushing the boundaries of customer satisfaction and business growth contin...

Job TitleBusiness Development Manager - Hospital Patient MonitoringJob DescriptionJob title:The Business Development Specialist is responsible for driving commercial strategy across diverse markets innovating business models and partnerships to meet local demands aligning BMC initiatives with broade...

Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI usi...

What you will doThe Sales Executive Security will be reporting directly to the Sales Manager Control Install - GCC. As part of a growing team you will be based in Dubai and responsible for delivering a sales target in UAE across the Security systems portfolio.You will be concentrated on selling new...

We are seeking a skilled and experienced Cisco Certified Network Specialist to join our IT infrastructure team. The ideal candidate will be responsible for designing implementing maintaining and supporting our growing network infrastructure. You will be part of a team that is responsible for ensurin...

Overall objectives To ensure end-to-end visibility of application health performance and user experience across critical business services.To implement and manage modern APM tools that support real-time insights transaction tracing and deep diagnostics of application behaviour.To support performance...

Overall objectives To ensure the continuous proactive and intelligent monitoring of IT infrastructure through the integration and operation of modern observability tools.To develop and operationalise machine learning-based anomaly detection mechanisms for early detection of issues across compute net...