Asset & Spare Parts Manager (Data Centre Management)

Overview

The Asset & Spare Parts Manager is responsible for managing the lifecycle, inventory, availability, and documentation of critical data centre assets and spare parts. The role ensures that hardware assets are accurately recorded, critical spare parts remain available to support operational and service-level requirements, and asset, warranty, logistics, and lifecycle activities are properly controlled and documented.

Responsibilities

• Operate and support high-performance network fabrics used to interconnect GPU compute infrastructure, including InfiniBand and/or RoCE-based environments.

• Manage and monitor network fabric topology, fabric management functions, congestion control, link health, and network performance.

• Monitor network health indicators and link error conditions, identify potential issues, and drive proactive remediation where required.

• Support data centre network architectures, including spine-leaf fabrics, overlay networks, routing, and management network segmentation.

• Support technologies and environments such as EVPN/VXLAN, BGP, OSPF, and related data centre networking technologies.

• Manage network incidents, changes, and problem resolution activities across the GPU platform, including participation in maintenance windows and change governance processes.

• Perform network equipment firmware upgrades, configuration activities, and hardware or connectivity validation.

• Validate network cabling, optics, DAC/AOC connections, and other physical network components to maintain reliable connectivity.

• Coordinate with equipment vendors, OEMs, and technical support teams for hardware failures, complex incidents, and infrastructure maintenance.

• Support the implementation and review of network security policies, segmentation, and access controls in accordance with applicable standards.

• Monitor and report network fabric health, utilisation, performance, and capacity.

• Support capacity planning and provide technical recommendations for future GPU cluster expansion and network scale-out.

• Maintain operational documentation, network records, incident/change records, and compliance evidence.

• Identify opportunities for network optimisation, automation, reliability improvements, and operational efficiency.

Qualifications

Must-Have Requirements

• 7–11 years of experience in data centre networking, network engineering, network operations, or related infrastructure environments.

• Strong hands-on experience with high-performance data centre network fabrics supporting GPU, HPC, or similarly demanding compute environments.

• Experience with InfiniBand and/or RoCE-based networking, including fabric operation, monitoring, performance management, and troubleshooting.

• Experience with fabric management, topology management, congestion control, and network performance optimisation.

• Strong understanding of data centre switching and network fabric architecture, including spine-leaf designs.

• Experience with network overlays and data centre technologies such as EVPN/VXLAN.

• Strong knowledge of routing protocols including BGP and OSPF, with exposure to WAN/network connectivity technologies such as MPLS.

• Experience with network segmentation, management networks, and access control implementation.

• Experience with network security and firewall policy management, including enterprise firewall environments.

• Strong packet-level troubleshooting capabilities, including analysis of connectivity, performance, and network errors.

• Hands-on understanding of data centre physical networking, including structured cabling, optics, DAC/AOC connections, and related connectivity standards.

• Experience performing network equipment configuration, firmware upgrades, validation, and troubleshooting.

• Exposure to network automation and configuration management using tools or scripting such as Python and Ansible.

• Experience handling network incidents, changes, problems, maintenance activities, and technical escalations.

• Ability to work within an 8x5 operational environment with on-call support as required.

• Good communication skills in Bahasa Indonesia and working English.

Preferred Qualifications

• Experience supporting GPU, AI, machine learning, HPC, or high-density data centre environments.

• Experience with NVIDIA-based GPU networking and high-performance interconnect technologies.

• Experience with network fabric management and monitoring platforms such as NVIDIA UFM or equivalent.

• Exposure to NVIDIA Quantum InfiniBand platforms, including NDR/HDR environments.

• Experience with RoCE v2 and performance or congestion optimisation for highperformance workloads.

• Experience with data centre networking platforms such as Cisco ACI, Juniper QFX/EX, NVIDIA networking platforms, or equivalent technologies.

• Experience with network management and telemetry platforms such as NVIDIA Cumulus/NetQ or equivalent.

• Experience with firewall platforms such as Palo Alto or Fortinet.

• Experience coordinating with OEM technical support/TAC teams for network hardware incidents.

• Experience with network capacity planning and infrastructure design for largescale cluster expansion.

• Familiarity with IT service management, change governance, and maintenance processes.

• Relevant professional certifications, such as: NVIDIA NCP-AII / NCA-AIIO, CCIE Enterprise Infrastructure, CCNP Data Center, Juniper JNCIP-DC, Palo Alto PCNSE

Key Attributes

• Strong network troubleshooting and analytical skills, particularly at packet and infrastructure level.

• Good understanding of high-performance and data centre networking environments.

• Strong operational awareness with the ability to identify network risks and potential service-impacting conditions proactively.

• Detail-oriented in network configuration, cabling, documentation, monitoring, and change activities.

• Able to manage network incidents and technical issues through structured troubleshooting and escalation processes.

• Strong understanding of network security, segmentation, and access control principles.

• Comfortable working with cross-functional teams, infrastructure teams, vendors, OEMs, and technical stakeholders.

• Able to balance operational stability with network optimisation, automation, and infrastructure scalability.

• Strong documentation and reporting discipline.

• Comfortable supporting maintenance activities and on-call operational requirements.