Description:
Our client is seeking an experienced Storage Engineer to manage and scale their high-performance storage platforms in Chicago. This critical role will support massive data volumes and computational workloads essential to global trading and research initiatives. The engineer will be responsible for designing, deploying, and maintaining robust storage solutions while ensuring performance, scalability, and reliability across global systems.
Key Responsibilities:
Design & Deployment: Design and implement global storage solutions that focus on performance, scalability, and reliability
Collaboration: Work with research and engineering teams to optimize data workflows and storage usage
Troubleshooting: Diagnose and resolve complex storage, Linux, and networking issues
Integration: Integrate storage with distributed compute clusters and hardware such as NVMe, GPUs, and high-speed NICs
Capacity Planning & Performance Tuning: Perform capacity planning, tune performance (latency, IOPS, throughput), and conduct benchmarking
Support: Participate in follow-the-sun support for critical storage infrastructure
Required Skills & Experience:
5+ years of experience in storage architecture/design for large-scale compute environments
Expertise with storage systems such as Lustre, GPFS, S3, BeeGFS, Weka, Ceph, Vast, PowerScale, DDN, MinIO
Strong Linux engineering skills, including bare-metal, kernel, and system administration
Solid understanding of storage stack internals (filesystems, block storage, I/O)
Experience with storage benchmarking and performance tuning
Familiarity with storage-critical hardware such as NVMe, CPU/GPU, PCIe, NICs, and PMEM
Proficiency in programming languages such as Python, Go, Rust, or Bash
Strong communication skills
Desired Skills:
Experience with Kubernetes (CSI), Slurm, AWS/GCP, HDFS, AI/ML frameworks, Prometheus, Terraform/Ansible
Organization | Engtal |
Industry | IT / Telecom / Software Jobs |
Occupational Category | Storage Engineer |
Job Location | Chicago,USA |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Experienced Professional |
Experience | 5 Years |
Posted at | 2025-04-16 3:34 pm |
Expires on | 2025-05-31 |