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Data Center Solutions Architect - AI Infrastructure (Global Remote/Hybrid)
NEXUS AIDC
Dubai, UAE
Full Time
Senior
1 months ago
Data Center Infrastructure Management (DCIM)Application Performance Monitoring (APM)KubernetesPrometheusGrafanaDatadog
Free
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Data Center Infrastructure Management (DCIM)Application Performance Monitoring (APM)Kubernetes
About the Role
NEXUS AIDC is hiring a hands-on Data Center Solutions Architect to design and optimize integrated data center environments with a focus on DCIM, APM, Kubernetes, and observability.
Key Skills for This Role
Data Center Infrastructure Management (DCIM)Application Performance Monitoring (APM)KubernetesPrometheusGrafanaDatadog
Responsibilities
- Lead the design and optimization of integrated data center environments with focus on DCIM, APM, Kubernetes, observability, automation, and capacity planning
- Work closely with infrastructure, cloud, SRE, platform engineering, and operations teams to improve visibility, reliability, and performance
- Own and enhance the organization’s Data Center Infrastructure Management strategy, including deployment, reporting, operational governance, utilization analysis, asset lifecycle visibility, and power and cooling optimization
- Design meaningful dashboards that translate complex infrastructure and application telemetry into executive ready and operations ready insights
- Build and maintain infrastructure pipelines that interface with DCIM systems to monitor power, cooling, and hardware health at the rack level
- Implement deep APM and observability stacks (Prometheus, Grafana, Datadog) to track GPU utilization, memory bandwidth, and AI workload latency in real time
Requirements
- Proven experience managing mid to large scale data center environments, including infrastructure operations, governance, capacity planning, and reporting
- Deep hands on experience with DCIM platforms such as Schneider Electric EcoStruxure IT, Nlyte, Sunbird, Vertiv Trellis, or Device42
- Strong experience with APM and observability tools such as Dynatrace, AppDynamics, Datadog, New Relic, Prometheus, or Grafana
- Practical expertise in Kubernetes administration, containerized workload monitoring, networking, troubleshooting, and performance optimization
- Ability to design clear and actionable operational dashboards that translate complex telemetry into business and technical insights
- Strong understanding of asset lifecycle management, utilization analysis, power and cooling optimization, and infrastructure performance reporting
- Experience developing or improving automation frameworks, monitoring standards, operational runbooks, and repeatable infrastructure workflows
- Excellent collaboration skills with Infrastructure, Cloud, SRE, Platform Engineering, and Operations teams
Full Job Posting
Role Description
- We are looking for a hands on Data Center Solutions Architect who can connect physical data center operations with advanced digital infrastructure management, observability, and cloud native platforms
- Ideal for an infrastructure professional who understands how complex environments perform in the real world: racks, power, cooling, structured cabling, monitoring, capacity, applications, and Kubernetes workloads
As a Data Center Solutions Architect, you will
- Lead the design and optimization of integrated data center environments, with a strong focus on DCIM, APM, Kubernetes, observability, automation, and capacity planning
- Work closely with infrastructure, cloud, SRE, platform engineering, and operations teams to improve visibility, reliability, and performance across critical enterprise systems
- Own and enhance the organization’s Data Center Infrastructure Management strategy, including deployment, reporting, operational governance, utilization analysis, asset lifecycle visibility, and power and cooling optimization
- Design meaningful dashboards that translate complex infrastructure and application telemetry into executive ready and operations ready insights
- Build and maintain infrastructure pipelines that interface with Data Center Infrastructure Management (DCIM) systems to monitor power, cooling, and hardware health at the rack level
- Implement deep Application Performance Monitoring (APM) and observability stacks (Prometheus, Grafana, Datadog) to track GPU utilization, memory bandwidth, and AI workload latency in real time
Required Qualifications
- Proven experience managing mid to large scale data center environments, including infrastructure operations, governance, capacity planning, and reporting
- Deep hands on experience with Data Center Infrastructure Management (DCIM) platforms such as Schneider Electric EcoStruxure IT, Nlyte, Sunbird, Vertiv Trellis, or Device42
- Strong experience with APM and observability tools such as Dynatrace, AppDynamics, Datadog, New Relic, Prometheus, or Grafana
- Practical expertise in Kubernetes administration, containerized workload monitoring, networking, troubleshooting, and performance optimization
- Ability to design clear and actionable operational dashboards that translate complex telemetry into business and technical insights
- Strong understanding of asset lifecycle management, utilization analysis, power and cooling optimization, and infrastructure performance reporting
- Experience developing or improving automation frameworks, monitoring standards, operational runbooks, and repeatable infrastructure workflows
- Excellent collaboration skills with Infrastructure, Cloud, SRE, Platform Engineering, and Operations teams
Preferred qualifications
- Experience in hyperscale, high density, or enterprise data center environments
- Working knowledge of Infrastructure as Code tools such as Terraform or Ansible
- Relevant certifications such as CKA, CKAD, ITIL, cloud certifications, or data center operations certifications
- Strong interest in modern platform engineering, hybrid cloud operations, and intelligent infrastructure management
Company Description
- NEXUS AIDC is revolutionizing the data center industry with the world’s first AI native Data Center Operating System
- Unifying DCIM, APM, FinOps, Kubernetes orchestration, AI workload management, and full stack observability
- Empowers smarter decisions, optimized performance, reduced costs, and faster AI deployments
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