- Salary: $500,000
- Locations: Chicago, London, New York
- Job Type: Full Time
- Job Category: Infrastructure
Description
We are partnering with a leading quantitative trading firm operating a globally distributed research and trading platform. The firm manages one of the most sophisticated HPC environments in the industry, including storage infrastructure exceeding 100 petabytes.
This role sits within a highly technical infrastructure team responsible for designing, operating, and evolving large-scale storage systems that support AI/ML research and performance-critical trading workloads running 24/7 worldwide.
This is an opportunity to play a key role in shaping the future direction of storage architecture within a serious HPC environment.
Key Responsibilities
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Design, deploy, and manage large-scale storage platforms supporting HPC and research workloads
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Architect distributed file system solutions for performance, redundancy, and high availability
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Troubleshoot complex issues across storage, operating systems, and networking layers
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Develop automation and monitoring tools to improve performance and reliability of storage clusters
-
Evaluate and test emerging storage technologies and hardware
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Support large-scale AI/ML and distributed compute workloads
-
Contribute to long-term storage strategy and capacity planning
Required Skills
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Design, deploy, and manage large-scale storage platforms supporting HPC and research workloads
-
Architect distributed file system solutions for performance, redundancy, and high availability
-
Troubleshoot complex issues across storage, operating systems, and networking layers
-
Develop automation and monitoring tools to improve performance and reliability of storage clusters
-
Evaluate and test emerging storage technologies and hardware
-
Support large-scale AI/ML and distributed compute workloads
-
Contribute to long-term storage strategy and capacity planning
Apply Today
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