Sr. Storage Engineer

Cirrascale Cloud Services, LLC; San Diego (CA); On-site; USD 121,500 - 178,750; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plans

Paid time off

Professional development opportunities

Job summary

A leading AI infrastructure company in San Diego seeks a Senior Storage Engineer to architect and manage high-performance storage solutions. The role requires extensive experience with Ceph and WEKA, along with skills in performance tuning for AI workloads. You will lead initiatives to optimize storage systems for AI applications. Competitive salary and comprehensive benefits package offered.

Qualifications

• 7+ years of experience managing and scaling enterprise storage systems.
• 3+ years of hands-on experience with Ceph and/or WEKA in production environments.
• Strong understanding of RDMA, InfiniBand, NVMe-oF, and distributed metadata systems.

Responsibilities

• Architect, deploy, and manage high-performance storage solutions.
• Optimize IOPS and throughput across distributed systems.
• Develop and maintain infrastructure-as-code templates for automated storage deployments.

Skills

Enterprise storage management

Ceph

WEKA

Linux

Scripting (Bash, Python)

Performance tuning for AI/ML

Troubleshooting in multi-tenant environments

Tools

Prometheus

Grafana

Ansible

Terraform

Docker

Kubernetes

Job description

Key Responsibilities

• Architect, deploy, and manage high-performance, scalable storage solutions based on Ceph and WEKA for AI and deep learning workloads.
• Optimize IOPS and throughput across distributed systems supporting hundreds of GPUs per cluster.
• Develop and maintain infrastructure-as-code templates for automated storage deployments.
• Monitor system performance and implement improvements to ensure low latency, high bandwidth, and data integrity.
• Lead incident response and root cause analysis for storage-related issues across production environments.
• Collaborate with system engineers, network teams, and customer success to tailor storage performance to specific workload needs.
• Evaluate and integrate new storage technologies and NVMe architectures into the AI stack.
• Write and maintain detailed technical documentation and runbooks.
• Contribute to strategic infrastructure planning and scaling initiatives.

Job Requirements

• 7+ years of experience managing and scaling enterprise storage systems.
• 3+ years of hands-on experience with Ceph and/or WEKA in production environments.
• Deep knowledge of storage architectures: object, block, and parallel file systems.
• Strong understanding of RDMA, InfiniBand, NVMe-oF, and distributed metadata systems.
• Proficiency in Linux (preferably Ubuntu/CentOS) and scripting (Bash, Python).
• Experience with performance tuning for AI/ML workloads using storage-intensive frameworks like TensorFlow, PyTorch, etc.
• Familiarity with containerized and virtualized environments: Docker, Kubernetes, KVM, etc.
• Strong troubleshooting and diagnostic skills in large-scale, multi-tenant environments.

Preferred Qualifications

• Experience with AI model training workflows, particularly storage IO patterns in multi-node GPU clusters.
• Familiarity with storage solutions from NetApp, DDN, VAST Data, and cloud-native offerings.
• Experience with monitoring tools (Prometheus, Grafana), and configuration management (Ansible, Terraform).
• Knowledge of data governance and compliance standards in AI environments.

Salary Range

The base salary range for the Senior Storage Engineer is $121,500 to $178,750. This pay range reflects the broad, minimum to maximum, pay range for this job for the location for which it has been posted. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.

Comprehensive benefits package, including health, dental, and vision insurance, retirement plans, paid time off, and opportunities for professional development.

Why Join Cirrascale?

Join a growing team that''s pushing the boundaries of AI infrastructure. At Cirrascale, you’ll contribute to projects powering next-generation AI applications while working with top-tier hardware in a collaborative and innovative environment. From custom deployments to hands-on customer support, every role here plays a part in enabling breakthroughs in AI.

Interested in applying?

Submit your resume and cover letter through the button below.