Description:

Fluidstack is the AI Cloud Platform that builds GPU supercomputers for top AI labs, governments, and enterprises.
The company serves customers including Mistral, Poolside, Black Forest Labs, and Meta.
The team is small, highly motivated, and focused on providing a world-class supercomputing experience.
Employees are expected to prioritize customer satisfaction and work hard to win repeated business and referrals.
High standards are upheld within the team, with an emphasis on ownership, problem-solving, and a positive attitude.
The Infrastructure Engineer will architect and manage high-performance storage systems for the GPU supercomputing infrastructure.
The role involves designing, implementing, and maintaining storage solutions that ensure data integrity, scalability, and optimal performance across global data centers.

Requirements:

Candidates must have 5+ years of experience in storage engineering, particularly in high-performance environments.
Experience with storage hardware from major vendors (e.g., Weka, VAST, DDN) or open-source tools (e.g., LUSTRE, Minio) is required.
Proficiency in storage protocols (NFS, S3) and technologies (e.g., NVMeoF) is necessary.
Strong scripting skills in languages such as Python and Bash for automation and monitoring are essential.
Familiarity with data center operations and infrastructure management is expected.
Experience with Kubernetes Container Storage Interfaces (CSIs) is also required.

The position offers a competitive total compensation package that includes salary and equity.
A retirement or pension plan is provided, in line with local norms.
Health, dental, and vision insurance are included in the benefits package.
A generous paid time off (PTO) policy is offered, consistent with local norms.
Fluidstack operates on a remote-first basis but provides access to WeWork for employees in locations without an office.