{"id":454552,"url":"https://alion.io/job/bitdeer-cloud-storage-integration-engineer-storage-image-registry","title":"Cloud Storage Integration Engineer (Storage / Image / Registry)","company":{"id":174995,"name":"Bitdeer Technologies Group","domain":"bitdeer.com","url":"https://alion.io/company/bitdeer","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":79,"open_postings":13,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":112},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bitcoin","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"MinIO","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-27T22:18:56Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-11-02T03:42:25Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"About Bitdeer Technologies Group\nBitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.\nBitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.\nHeadquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.\nTo learn more, visit https://ir.bitdeer.com/\nPosition Overview\nGPU training and inference at 10,000+ GPU, multi-region scale depend on high-throughput, low-latency storage that can sustain massive parallel I/O. We are looking for an engineer who deeply understands distributed file systems and can integrate distributed / parallel storage systems into our GPU cloud - covering performance, multi-tenancy, and reliability - while also owning the image / driver / registry pipeline on the node-delivery critical path.\nKey Responsibilities\nDesign and integrate distributed / parallel file systems (e.g. Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS) into the GPU cloud, optimized for AI training / inference I/O patterns.\nOwn end-to-end distributed-storage integration: provisioning, mounting, multi-tenant isolation, quota, and lifecycle within the platform / control plane.\nTune storage throughput and latency for large-scale parallel access (dataset loading, checkpointing); benchmark across GPU SKUs and workloads.\nArchitect multi-region storage: data locality, replication / consistency, durability (failure domains), and cross-region access.\nOwn golden images, templates, GPU drivers / CUDA, and the container / image registry, including versioned release and multi-region distribution. (Secondary scope.)\nBuild monitoring, capacity planning, and runbooks; eliminate single points of failure.\nPartner with Compute (delivery), Network (storage fabric / RDMA), and Control Plane (provisioning / quota) teams.\nJob Requirement:\n3+ years (Senior 6+) in storage engineering or platform infrastructure, with hands-on distributed / parallel file system experience.\nStrong understanding of distributed file system internals - data / metadata separation, replication, consistency models, POSIX vs object semantics.\nProven experience integrating and operating distributed storage in production (e.g. Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS, MinIO).\nPerformance tuning for high-throughput / parallel I/O; familiarity with NVMe, RDMA / RoCE storage networking, and caching is a strong plus.\nStrong Linux systems depth and automation skills (Python / Go, CI / CD).\nHPC / AI storage or multi-region storage experience a strong plus.\n--------------------------------------------------------------------\nBitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. 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