HPC Storage Engineer

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

  • 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

Required Skills

  • 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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