Senior Storage Production Engineer – DGX Cloud

This is a fully remote position, open to applicants in California.

📋 Description

• Design, implement, and provide support for large-scale storage clusters, ensuring they are scalable, highly available, and maintain data integrity.

• Create and uphold storage monitoring, logging, and alerting systems to facilitate proactive detection and resolution of performance issues.

• Collaborate with AI/ML workloads to enhance storage architectures for low-latency access, efficient caching, and high-throughput performance.

• Enhance the lifecycle of storage services – from conception and design to deployment, operation, and ongoing optimization.

• Assist in the preparation of storage services prior to their availability by engaging in system build consulting, developing automation frameworks, managing capacity, and conducting launch reviews.

• Oversee the production storage infrastructure by monitoring availability, latency, and system health, utilizing predictive analytics and AI-driven automation.

• Maximize storage efficiency through compression, deduplication, tiering strategies, and intelligent workload allocation.

• Sustainably scale storage systems using AI/ML-driven automation, policy-based tiering, and dynamic data migration techniques.

• Guarantee data security and compliance by implementing encryption, access controls, and auditing mechanisms for storage systems.

• Engage in sustainable incident response and blameless root cause analysis.

• Participate in an on-call rotation to support storage and production systems.

⛳️ Requirements

• Bachelor's degree or equivalent experience in Computer Science, Storage Systems, or a related technical field, with a minimum of 8 years of practical experience.

• Proficient in distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems.

• Strong understanding of block, file, and object storage technologies, including their scalability, reliability, performance characteristics, and standard processes.

• Familiarity 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 the maintenance of large-scale Linux-based storage systems.

• Experience in one or more programming languages such as C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.

• Practical experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments.

• Proficient in using observability and tracing tools like InfluxDB, Prometheus, Grafana, and the Elastic stack for monitoring the health of storage systems.

🏝️ Benefits

• Equity

• Benefits