Data Center Operations Engineer

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

• Responsible for the daily operation and maintenance of the Data Center infrastructure to ensure high availability and stable service operation.
• Perform installation, rack and stack, cabling, commissioning, maintenance, and troubleshooting of AI/HPC cluster infrastructure, including:
• NVIDIA GB200 Cluster
• NVIDIA GB300 Cluster
• GPU Servers
• x86 Servers
• Storage Servers
• Ethernet and InfiniBand Switches
• DAC, AOC, Optical Fiber, and related cabling infrastructure
• Monitor and maintain the health status of cluster systems, including servers, GPUs, storage, networking devices, and associated infrastructure.
• Conduct hardware replacement and maintenance activities, including FRU replacement, BIOS/BMC/Firmware upgrades, and hardware diagnostics.
• Support server provisioning, operating system installation, cluster expansion, network validation, and burn-in testing.
• Troubleshoot hardware and infrastructure issues, including server failures, GPU errors, storage issues, network connectivity problems, switch failures, and cabling faults.
• Perform routine inspections, preventive maintenance, and maintain accurate operational records and maintenance logs.
• Execute incident response procedures and provide timely escalation and resolution according to operational standards.
• Prepare shift handover reports and maintain operation documents, SOPs, and incident reports.
• Work closely with engineering, network, and infrastructure teams to support new deployments and ongoing operation improvements.
• Participate in a two-shift rotation schedule, including night shifts, weekends, and holidays as required.

• Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, Information Technology, or related disciplines.
• Basic understanding of Data Center infrastructure and server hardware architecture.
• Familiarity with one or more of the following systems :
• NVIDIA GB200 Cluster
• NVIDIA GB300 Cluster
• GPU Servers
• x86 Servers
• Storage Servers
• Ethernet and InfiniBand Networks
• Knowledge of server hardware components, including CPU, memory, storage, GPU, BMC/IPMI, and firmware management.
• Familiarity with network concepts, including TCP/IP, Ethernet, VLAN, Link Aggregation (LACP), and high-speed interconnect technologies such as InfiniBand or RoCE.
• Understanding of structured cabling systems, including DAC, AOC, optical fiber, MPO, and LC connectors.
• Basic Linux administration skills, including:
• System monitoring and troubleshooting
• Service management using systemctl
• Log analysis using journalctl and dmesg
• Network troubleshooting tools such as ip and ethtool
• Basic shell scripting
• Preferred Qualifications
• Experience in Data Center operations or hardware maintenance is preferred.
• Experience supporting AI/HPC infrastructure or GPU clusters is a plus.
• Familiarity with NVIDIA AI infrastructure, including GB200 and GB300 systems, is highly desirable.
• Experience with large-scale cluster environments and high-speed networking technologies is a plus.
• Familiarity with monitoring and orchestration tools such as Slurm, Kubernetes, Prometheus, or Grafana is an advantage.
• Personal Attributes
• Willingness to work in a 24x7 two-shift rotation schedule, including night shifts.
• Strong sense of responsibility and ownership.
• Good teamwork and communication skills.
• Ability to work under pressure and respond effectively to operational incidents.
• Detail-oriented with strong adherence to operational procedures and safety standards.
• Self-motivated with a proactive attitude toward learning and problem-solving.
• This position is ideal for candidates who are interested in building and operating next-generation AI Data Center infrastructure supporting Large-scale NVIDIA GB200 and GB300 GPU clusters.

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.