Sr. Storage Engineer

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.

• 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, Infini Band, 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 Tensor Flow, PyTorch, etc.
• Familiarity with containerized and virtualized environments:
  Docker, Kubernetes, KVM, etc.
• Strong troubleshooting and diagnostic skills in large-scale, multi-tenant environments.

• Experience with AI model training workflows, particularly storage IO patterns in multi-node GPU clusters.
• Familiarity with storage solutions from Net App, 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.

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.

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.

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