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BitdeerVerified from Bitdeer's careers page · Breezy HR

Senior AI Cloud Network Operations Engineer

  • Remote (location not stated)
  • 5+ Years
  • Posted Nov 12, 2026

Visa sponsorship: the posting does not say.

Bitdeer had H-1B petitions approved for 3 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record

At a glance

Senior AI Cloud Network Operations Engineer at Bitdeer, a remote role (location not stated). Experience level: 5+ Years. Posted on 12 November 2026, read from Bitdeer's own careers page (Breezy HR), which RealAnalystJobs re-checks daily and removes the role when it closes.

About this role

About Bitdeer: Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence. Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. What you will be responsible for: • Monitor the full network estate 24×7 — switches, routers, optical transport — tracking device health, link bandwidth, and traffic load in real time. • Keep a close eye on AI-specific network signals: the indicators that hint at a problem before it becomes one. • Own incident response for network outages, link failures, and device-down events — moving fast, closing the loop, and hitting SLA targets every time. • Work alongside architecture and delivery teams to hunt down the hard stuff: microsecond-level jitter affecting GPU-to-GPU communication, NCCL throughput degradation, and other performance issues unique to high-performance AI networks. • Manage the full ticket lifecycle for routine network requests — fault reports, access requests, resource allocation — from creation through escalation to resolution. • Produce regular network health reports and post-incident reviews; build out the team's knowledge base so every hard-won lesson is captured. • Act as the technical interface for internal R&D teams and key customers, handling network change requests in real time: traffic isolation, VLAN adjustments, routing policy changes, temporary bandwidth upgrades, and more. • Execute changes under a rigorous change management process — writing the change plan, running the implementation, and keeping the blast radius on AI training jobs as close to zero as possible. How you will stand out: • 5+ years of network operations experience in large-scale internet, cloud, carrier NOC, or datacenter environments. Degree in CS, Telecoms, Electronics, or similar. • Strong hands-on knowledge of BGP, OSPF, VXLAN, EVPN, and ECMP — both configuration and the underlying forwarding mechanics. • Comfortable at the CLI of enterprise-grade switches and routers from vendors like NVIDIA Spectrum/Quantum, Arista, or Cisco; able to troubleshoot independently without needing someone to hold your hand. • Working knowledge of InfiniBand or RoCEv2, and a solid grasp of lossless network congestion control — PFC, ECN, and why they matter for AI traffic. • Familiar with network monitoring tools: Zabbix, Prometheus, Grafana, Cacti, MTR, or equivalent. • Fluent in Chinese and English. Preferred Qualifications: • Large-Scale Cluster Experience: Hands-on experience in the construction or operations of large-scale GPU clusters (1,000+ GPUs), specifically utilizing NVIDIA H100 or GB200 platforms. • AI Training Knowledge: Familiarity with the principles of AI distributed training communication libraries (e.g., NCCL, MPI) and the ability to diagnose/infer network issues by analyzing application-level training logs. • Advanced Infiniband Skills: Proficiency with advanced features of NVIDIA UFM (Unified Fabric Manager), such as SHARP (Scalable Hierarchical Aggregation and Reduction Protocol) and network telemetry. • Certifications: Hold professional certifications such as CCIE, JNCIE, NVIDIA-Certified Professional AI Networking (NCP-AIN), or Advanced Networking Specialty certifications from major public clouds. • Optical/Backbone Experience: Experience with Optical Transmission equipment (DWDM/DCI) or managing global backbone networks. • Automation: Mastery of at least one scripting language (Python or Go) with experience in developing network automation platforms or writing operational scripts. What you will experience working with us: • 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. -------------------------------------------------------------------- Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union. #LI-ST1

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