Senior Storage Production Engineer – DGX Cloud

🔥 12 hours ago

🇦🇺 Australia – Remote

⏰ Full Time

🟠 Senior

🏭 Production Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Design, implement, and support large-scale storage clusters • Ensure scalability, high availability, and data integrity • Develop and maintain storage monitoring, logging, and alerting systems • Improve storage architectures for AI/ML workloads, including low-latency access, efficient caching, and high-throughput performance • Manage the storage service lifecycle from design and deployment through operation and continuous optimization • Provide system build consulting, automation frameworks, capacity management, and launch reviews • Monitor availability, latency, and system health using predictive analytics and AI-driven automation • Optimize storage through compression, deduplication, tiering, and intelligent workload placement • Scale storage using AI/ML-driven automation, policy-based tiering, and dynamic data migration • Implement encryption, access controls, and auditing mechanisms • Participate in sustainable incident response and blameless root cause analysis • Participate in an on-call rotation supporting storage and production systems

🎯 Requirements

• BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field • 8+ years of practical experience • Experience with distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems • Understanding of block, file, and object storage technologies, including scalability, reliability, and performance characteristics • Experience with NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics • Expertise in algorithms, data structures, complexity analysis, software design, and automating maintenance of large-scale Linux-based storage systems • Experience with one or more of C/C++, Java, Python, Go, NodeJS, and Bash • Hands-on experience with Ansible, Chef, Puppet, and Terraform • Experience with InfluxDB, Prometheus, Grafana, and the Elastic stack • Excellent written and oral communication skills • Strong work ethic, teamwork, commitment to quality, and task completion • Knowledge of distributed storage systems, replication strategies, erasure coding, capacity planning, performance tuning, and troubleshooting • Experience with Git, code review, pipelines, and CI/CD • Experience with Kubernetes, OpenStack, or hybrid cloud storage architectures • Ability to design automated storage migration, backup, and disaster recovery strategies

🏖️ Benefits

• Full-time employment • Remote work arrangement in Australia