This range is provided by Thurn Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Thurn Partners
A leading technology-driven organization is seeking a Senior Storage Engineer to contribute to the design, implementation, and support of high-performance storage systems used in advanced research and computing environments.
This role focuses on delivering scalable, low-latency infrastructure to support data-intensive workloads, including machine learning and high-performance computing (HPC).
Key Responsibilities:
- Design, deploy, and manage large-scale Linux-based storage solutions
- Support high-throughput, low-latency compute environments and workflows
- Work with technologies such as NFS, S3, CEPH, GPFS, Lustre, ROCE, and Infiniband
- Tune and optimize systems at the OS, storage, and network layers
- Build infrastructure as code using tools like Ansible and Terraform
- Develop monitoring and alerting using Prometheus, Grafana, and Splunk
- Collaborate with engineering and research teams to align infrastructure with evolving needs
Ideal Candidate Profile:
- Deep understanding of file and object storage protocols and distributed storage systems
- Strong troubleshooting and performance tuning skills across the full stack
- Experience with scripting or development in languages such as Python or Golang
- Familiarity with modern CI/CD pipelines and container ecosystems (e.g., Docker, Kubernetes)
- Demonstrates a proactive, collaborative approach to problem-solving in complex environments
This is a technically challenging position suited to someone passionate about performance, scale, and reliability in high-demand compute environments.
Seniority level
Seniority level: Mid-Senior level
Employment type
Employment type: Full-time
Job function
- Finance and Engineering
Industries
- Financial Services and Engineering Services
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