NOC Engineer

DAMAC AI delivers AI compute, sovereign cloud and hyperscale data centre capacity across the Middle East
and Asia, operating large-scale NVIDIA GPU clusters for enterprise AI training and inference. The Bangalore
NOC provides 24×7 visibility across every rack, GPU, switch and storage node in the fleet.
As NOC Engineer, you are the first line of defence for incidents — detecting, triaging, resolving or escalating
events across compute, storage, network, facility and customer workload layers, on a rotating 24×7 shift
pattern
Key Responsibilities

Monitoring & Event Management

- Monitor 24×7 operational dashboards across GPU clusters, servers, storage platforms, and network fabrics.
- Triage and investigate alarms generated by monitoring platforms including Zabbix, Grafana, Prometheus, NVIDIA DCGM , and vendor-specific tools.
- Correlate events across compute, network, and facility layers to identify root causes and reduce alert noise.
- Fine-tune monitoring thresholds and alerting mechanisms to improve operational effectiveness.

Incident Response

- Log, classify, prioritize, and track incidents using ServiceNow, Jira Service Management , or similar ITSM platforms.
- Execute documented runbooks and Standard Operating Procedures (SOPs).
- Perform first-level troubleshooting across Linux systems, networking, virtualization, and infrastructure platforms.
- Escalate incidents to L2/L3 support teams, on-site field engineers, or OEM vendors in accordance with established escalation procedures.
- Drive incident resolution within agreed SLAs and maintain accurate incident timelines and records.

Change & Request Fulfillment

- Support planned maintenance activities and change implementations across data center environments.
- Fulfill standard service requests in accordance with operational procedures.
- Validate infrastructure health before and after changes and initiate rollback procedures when required.

Customer & Stakeholder Communication

- Provide timely, accurate, and professional updates throughout the incident lifecycle.
- Publish shift handover reports, daily service health summaries, and incident notifications.
- Coordinate effectively with internal stakeholders, customers, vendors, and engineering teams.

Continuous Improvement

- Develop and maintain technical runbooks, SOPs, and knowledge-base documentation.
- Participate in post-incident reviews and contribute to corrective and preventive actions.
- Identify opportunities for automation and process optimization.

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Required Qualifications

- Minimum 3 years of experience in a NOC, SOC, or 24×7 operations environment supporting enterprise or data center infrastructure.
- Working knowledge of Linux administration and Windows Server fundamentals.
- Solid understanding of: TCP/IP Networking
- VLANs
- Routing & Switching
- DNS
- Load Balancing
- Firewalls

- Hands-on experience with monitoring tools such as: Zabbix
- Nagios
- PRTG
- Grafana
- Prometheus

- Experience using ITIL-aligned ticketing platforms such as: ServiceNow
- Jira Service Management
- Remedy

- Ability to work rotating 24×7 shifts , including nights, weekends, and public holidays.
- Strong verbal and written English communication skills.
- Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent practical experience.

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Preferred Qualifications

- Experience supporting NVIDIA GPU platforms , including DGX/HGX environments and DCGM monitoring .
- Familiarity with InfiniBand , RoCE , or high-speed Ethernet fabrics.
- Exposure to virtualization, containerized infrastructure, and Kubernetes environments.
- Relevant certifications such as: ITIL v4 Foundation
- CCNA
- RHCSA
- CompTIA Network+
- CompTIA Server+

- Previous experience working in a: Managed Services Provider (MSP)
- Hyperscale Data Center
- Telecommunications NOC Environment

- Basic scripting knowledge in Python, Bash, or PowerShell .

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What Success Looks Like

- Rapid and accurate incident identification and resolution.
- Consistent SLA achievement and operational excellence.
- Clear customer communication during critical incidents.
- Continuous contribution to automation, documentation, and operational improvements.
- Strong collaboration with engineering, vendor, and customer teams.

Join us and help operate next-generation AI, GPU, and data center infrastructure at scale.