Senior AI Storage Infrastructure Engineer
Bitdeer Technologies Group is a technology company providing Bitcoin mining solutions, mining hardware, data-center infrastructure, and AI cloud services. It serves individual, institutional, and enterprise customers globally.
Funding history
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About Bitdeer Technologies Group
Bitdeer provides vertically integrated Bitcoin mining and high-performance computing services. Its operations include mining equipment procurement and manufacturing, datacenter design and construction, equipment management, daily mining operations, cloud mining, and mining-related services. The company also offers AI cloud infrastructure and high-performance computing powered by NVIDIA GPUs for AI and machine-learning workloads, serving customers across global markets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design, deploy, and maintain CSI drivers for high-performance parallel file systems; implement GPUDirect Storage integrations; manage local NVMe caching; optimize storage performance across the containerized stack; integrate storage with RDMA and high-speed interconnects; implement monitoring and alerting; define Kubernetes storage policies and multi-tenancy strategies; mentor junior engineers; and lead architectural reviews.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
- 5+ years of experience in distributed storage systems and high-performance file systems
- Deep understanding of POSIX compliance and file I/O semantics
- Expertise in the Kubernetes CSI paradigm
- Hands-on experience with block and file I/O at the Linux OS level
- Kernel-level performance tuning experience
- Familiarity with RDMA, InfiniBand, and RoCE
- Experience operating, debugging, and scaling large-scale storage environments
- Experience with Terraform, Ansible, and CI/CD pipelines
- Excellent technical communication skills
Responsibilities
- Design, deploy, and maintain CSI drivers for parallel file systems
- Architect and implement GPUDirect Storage integrations
- Develop and manage local NVMe caching strategies
- Optimize IOPS, throughput, and latency across the containerized storage stack
- Integrate storage with RDMA, InfiniBand, and RoCE
- Implement automated storage monitoring and alerting
- Define Kubernetes storage policies, quota management, and multi-tenancy isolation
- Mentor junior engineers
- Lead architectural design reviews
Benefits
- A culture that values authenticity and diversity of thoughts and backgrounds
- An inclusive and respectable environment with open workspaces and startup spirit
- Networking opportunities with industry pioneers and enthusiasts
- Ability to contribute directly to the future of the digital asset industry
- Involvement in new projects and process development
- Personal accountability, autonomy, fast growth, and learning opportunities
- Attractive welfare benefits
- Training and mentoring opportunities