Futurex Trainee-Event Management Autonomous Operations Engineer UAEN Only

Key Accountabilities

• Perform first-level analysis of alerts, validate severity, and escalate incidents to appropriate teams following predefined SOPs and SLAs.
• Use AI-powered dashboards (e.g., Grafana, Kibana) to track system health, visualize alerts, and ensure real-time visibility of operational events.
• Operate and interact with AI agents and automation platforms to support event classification, incident creation, and information sharing.
• Monitor and escalate all actionable fault alarms using AI tools to improve Trouble Ticket SLAs.
• Execute basic diagnostic scripts (Python/ML-based) to support fault validation and reduce false positives during or after incident handling.
• Log all monitored alerts, actions taken, and escalations in Trouble Ticketing systems with clear and accurate details.
• Assist in identifying repetitive alert patterns and contribute to automation initiatives aimed at reducing manual intervention.
• Participate in disaster recovery and business continuity activities by ensuring timely alert detection and escalation during critical events.
• Support SOC operations by working in shifts as part of the 24/7 duty roster, ensuring uninterrupted monitoring and response coverage.

Qualifications, experience, skills and competencies

Qualifications, experience and skills:

Qualifications

• Bachelor’s degree in computer networks, data science, artificial intelligence or relevant field.

Experience

• Basic understanding of mobile network architecture (e.g., LTE, 5G, GSM, VoLTE , etc.).
• Familiarity with IT infrastructure components: servers, storage, networking, and cloud platforms.
• Certifications in Python for networks, AI, machine learning and Data Science is a plus.
• Basic Knowledge of AI/ML algorithms for anomaly detection and predictive alerting
• Experience or Knowledge in training machine learning models in AI/ML/DS projects.
• Familiarity with Event Handling (alert monitoring workflows) and escalation protocols.
• Exposure to application monitoring tools
• Basic knowledge of alarms classification and unsupervised machine learning algorithms.
• Willingness to work in shifts or on-call rotations

skills

• Skills in complex problem Solving, inter/intra team collaboration, excellent communication, initiative/Commitment to Achieve