> Markdown version of [/jobs/ext/3957539-sr-gpu-cloud-storage-solutions-expert-sre-sme](https://www.wearedevelopers.com/jobs/ext/3957539-sr-gpu-cloud-storage-solutions-expert-sre-sme). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. GPU Cloud Storage Solutions Expert SRE SME - **Company:** Bitdeer Technologies Group - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cloud Storage, Data Transmissions, Linux, Storage Area Network (SAN), Performance Tuning, Remote Direct Memory Access, Runbook, Weka, Ceph (Software), Graphics Processing Unit (GPU), Computer Network Operations, Machine Learning Operations, Bitcoin, Nvme - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-gpu-cloud-storage-solutions-expert-sre-sme-austin-tx--6506953f-95b5-4f68-8d0c-9d256f350860 ## About the Role Cloud Storage, GPU (Graphics Processing Unit), Bitcoin, Artificial Intelligence (AI), Technical Leadership, Operations, Cloud Computing, Network Operations Center, Logistics, Construction Management, * 5+ years in enterprise or HPC storage operations, with at least 2 years supporting AI/ML workloads * Hands-on deployment and operations experience with at least two of: WEKA, VAST Data, Ceph, DDN/Lustre * Strong understanding of AI training I/O patterns: checkpoint frequency, dataset loading, shuffle buffers * Experience with high-performance storage networking (NFS over RDMA, NVMe-oF) * Knowledge of GPU Direct Storage and RDMA-based data transfer * Proficiency in storage performance benchmarking and tuning (fio, IOR, mdtest) * Experience implementing multi-tenant storage with isolation and QoS * Strong Linux systems knowledge (kernel tuning, filesystem internals, block device management) * Instinct for turning ops toil into ML signal - you've either shipped an anomaly detector for storage/IO telemetry or you can articulate the labels and features you'd need to. * Runbook-as-code mindset - every SOP you write should be executable by a machine within a quarter. * ------------------------------------------------------------------- ## Description You own the IO layer that trains the models - and the signals we need to predict storage faults before a checkpoint stalls a $50M training run.