Application Support Engineer

Role Description The Application Support Engineer is a part-time, hybrid role based in Dubai, with flexibility for some work from home. This role focuses on providing technical and application support for AI-related tools and platforms used by internal teams, fellows, and external partners. Day-to-day tasks include monitoring application performance, diagnosing and resolving incidents, managing support tickets, and documenting issues and resolutions. The engineer will collaborate with research and engineering teams to troubleshoot complex problems, support deployments, and assist with configuration, upgrades, and integration of new features. The role also involves communicating clearly with stakeholders, maintaining user guides and knowledge bases, and contributing to process improvements for more resilient AI deployments.

Qualifications

• Candidates should possess strong Application Support and Technical Support skills, including experience handling incidents, service requests, and user inquiries.
• Candidates should possess solid Analytical Skills and Troubleshooting abilities to investigate issues, interpret logs and metrics, and identify root causes within complex systems.
• Candidates should possess clear and professional Communication skills for interacting with technical and non-technical stakeholders, documenting solutions, and contributing to knowledge sharing.
• Relevant experience with enterprise or cloud-based applications, APIs, and integration workflows; familiarity with AI, data, or distributed systems environments is a plus.
• Proficiency with ticketing and monitoring tools (e.g., Jira/ServiceNow, observability platforms), and comfort working in Linux-based or mixed technology stacks.
• Ability to work independently in a hybrid setup, prioritize multiple requests, and maintain a high standard of reliability and user service.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Commitment to ethical, safe, and responsible technology deployment; interest in AI policy, reliability, or socio-technical systems is advantageous.