FutureX Graduate Trainee-Event Management Autonomous Operations Engineer UAEN Only

DU UAE; United Arab Emirates; On-site; AED 60,000 - 90,000; Full time

Job summary

FutureX Graduate Trainee-Event Management Autonomous Operations Engineer role in United Arab Emirates focuses on monitoring alerts and escalating incidents within 24/7 SOC support. You will use AI dashboards to visualize system health and assist in automating alert handling across networks and cloud platforms.

The program requires a bachelor’s degree in networks, data science, AI or related field, with basic Python/ML scripting and a willingness to work in shifts.

Qualifications

• Bachelor's degree in computer networks, data science, artificial intelligence or relevant field.
• Experience or familiarity with IT infrastructure components such as servers, storage and cloud platforms.
• Certifications in Python for networks, AI, machine learning and data science are a plus.

Responsibilities

• Analyze first-level alerts, validate severity and escalate incidents per SOPs and SLAs.
• Use AI dashboards (Grafana, Kibana) to monitor system health and visualize alerts.
• Interact with AI agents and automation platforms for event classification and incident creation.
• Monitor actionable fault alarms and escalate to improve Trouble Ticket SLAs.
• Run basic diagnostic scripts (Python/ML) to validate faults and reduce false positives.
• Log alerts, actions and escalations in Trouble Ticketing systems with clear details.
• Identify repetitive alert patterns and contribute to automation to reduce manual intervention.

Skills

Complex problem solving

Team collaboration

Communication

Initiative

Education

Bachelor's degree in computer networks, data science, AI or relevant field

Tools

Grafana

Kibana

Python

Job description

FutureX Graduate Trainee-Event Management Autonomous Operations Engineer (Emirati Hire Only)

United Arab Emirates and 1 more

• Job Identification 12267
• Job Category Infra
• Business Unit du

Job Description

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