Senior Storage Production Engineer - DGX Cloud
Job in
Santa Clara, Santa Clara County, California, 95053, USA
Listed on 2026-07-21
Listing for:
NVIDIA Corporation
Full Time
position Listed on 2026-07-21
Job specializations:
-
IT/Tech
IT Infrastructure, SRE/Site Reliability, Data Engineering, Systems Engineer
Job Description & How to Apply Below
Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge across domains such as storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, and open‑source cloud‑enabling technologies such as Kubernetes, containers, and virtualization.
WhatYou Will Be Doing:
- Design, implement, and support large‑scale storage clusters, ensuring scalability, high availability, and data integrity.
- Develop and maintain storage monitoring, logging, and alerting systems to detect and resolve performance issues proactively.
- Work with AI/ML workloads to improve storage architectures for low‑latency access, efficient caching, and high‑throughput performance.
- Improve the lifecycle of storage services — from inception and design to deployment, operation, and continuous optimization.
- Support storage services before they become available through activities such as system build consulting, developing automation frameworks, capacity management, and launch reviews.
- Maintain production storage infrastructure by supervising availability, latency, and system health, leveraging predictive analytics and AI‑driven automation.
- Optimize storage efficiency through compression, deduplication, tiering strategies, and intelligent workload placement.
- Scale storage systems sustainably using AI/ML‑driven automation, policy‑based tiering, and dynamic data migration techniques.
- Ensure data security and compliance by implementing encryption, access controls, and auditing mechanisms for storage systems.
- Practice sustainable incident response and blameless root cause analysis.
- Be part of an on‑call rotation to support storage and production systems.
- BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field with 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.
- Solid understanding of block, file, and object storage technologies, including their scalability, reliability, and performance characteristics and standard processes.
- Experience with storage networking protocols such as 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 in one or more of the following: C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.
- Hands‑on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments.
- Experience with observability and tracing tools such as InfluxDB, Prometheus, Grafana, and the Elastic stack for monitoring storage system health.
- Excellent written and oral communication skills, strong work ethic, deep sense of teamwork, and commitment to finishing tasks every day.
- Deep understanding of extensive distributed storage systems, replication strategies, and erasure coding techniques.
- Experience in capacity planning, performance tuning, and troubleshooting high‑throughput storage systems.
- Experience with Git, code review, pipelines, and CI/CD for handling infrastructure as code.
- Experience in analyzing and improving distributed storage system performance at scale.
- Strong debugging skills with a systematic problem‑solving approach to identify sophisticated storage issues.
- Proven understanding of network protocols, architectures, and troubleshooting techniques, especially as it relates to storage performance, stability, and availability.
- Experience using or operating private and public cloud storage solutions based on…
Position Requirements
10+ Years
work experience
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