> Markdown version of [/jobs/ext/4691374-storage-engineer-zdata](https://www.wearedevelopers.com/jobs/ext/4691374-storage-engineer-zdata). 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). --- # Storage Engineer, zDATA - **Company:** ZETTABYTES, INC. - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Salary:** $180,000 - $230,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon S3, Software Applications, Bash Shell, Cloud Computing, Computer Clusters, Computer Programming, Customer Data Management, Data Centers, Extract Transform Load (ETL), Linux, Disaster Recovery, File Systems, General Parallel File Systems, Information Lifecycle Management, Python (Programming Language), Networking Basics, Open Source Technology, Performance Tuning, Remote Direct Memory Access, Weka, Ceph (Software), Scripting, Graphics Processing Unit (GPU), Computer Network Operations, Kubernetes, Storage Technologies, Deployment Automation, Model Inference - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/storage-engineer-zdata-palo-alto-ca--eff21fdd-8c7e-4c87-8a1e-d68eff883275 ## About the Role Storage Software, Cloud Computing, Artificial Intelligence (AI), GPU (Graphics Processing Unit), High Tech Industry, Computer Software, Network Operations Center, OEM (Original Equipment Manufacturer), Storage Software, Performance Tuning/Optimization, * 5+ years in storage engineering or infrastructure for large-scale systems * Hands-on experience with parallel file systems (Lustre, GPFS, WEKA, VAST or equivalent) or Ceph * Solid knowledge of S3-compatible object storage * Strong Linux and networking fundamentals, including NFS and RDMA * Programming or scripting in Go, Python or Bash * Experience with Kubernetes storage (CSI drivers, persistent volumes) Bonus Qualifications * Experience with GPUDirect Storage or similar data paths * Background in storage for AI training or HPC * Experience with data lifecycle and tiering policies * Contributions to open-source storage projects ## Description Storage Engineer, zDATASkip to main content, * AI computing company: we turn GPU hardware into reliable, high-utilisation AI compute through software, orchestration and full lifecycle operations * What we offer: enterprise GPU cloud and AI inference, software for data centre owners to run their own GPU clouds, turnkey and sovereign AI data centres, edge computing and GPU financing * Who we work with: GPU owners, data centre operators, enterprises, OEMs, integrators and financiers across multiple markets * How we work: fast-moving and high-accountability; we value speed, ambition, clarity, ownership and measurable outcomes Role Summary The Storage Engineer, zDATA builds and operates the storage services that feed data to AI training and inference workloads on Zettabytes platform. The role covers high-performance file and object storage, from architecture and performance tuning to data protection and day-to-day operations. The Storage Engineer works with platform, networking and product teams so that storage keeps pace with the GPUs it serves. Reporting Line Reports to: Co-CTO and CPO Key Responsibilities * Architecture: design storage tiers for AI workloads, balancing throughput, capacity, durability and cost. * Deployment: deploy and integrate parallel file systems and object storage with GPU clusters and Kubernetes. * Performance: benchmark and tune storage for data loading, checkpointing and model distribution. * Data protection: implement snapshots, replication, backup and recovery procedures that meet customer requirements. * Multi-tenancy: provide quotas, access controls and isolation for customer data on shared infrastructure. * Operations: monitor capacity and health, respond to storage incidents and drive root-cause fixes. * Product input: work with the Product Manager, zDATA on the roadmap, customer requirements and service levels. * Automation: automate provisioning, upgrades and routine tasks with infrastructure as code.