Data Infrastructure Architect

6 days ago


San Francisco, California, United States Unum AI Full time

At Unum AI, we're pushing the boundaries of data infrastructure to empower a million data-intensive and AI applications.

We're on a mission to reinvent Data-Lakes for extreme scale and AI, combining the best of Snowflake and OpenAI.

About the Role

You will orchestrate software development and hardware management in one of the most advanced modern software projects.

This is a unique opportunity to discover things about software and hardware that you won't learn anywhere else.

The role involves managing liquid-cooled state-of-the-art servers with 64 core CPUs, terabytes of RAM, and 200 GBit peer-to-peer mesh Mellanox networking.

Quad-GPU instances with Ampere, Turing, and Volta Nvidia GPUs are also part of this project, used for R&D and CI.

Deployments are done across public clouds, including x86 and Arm CPUs, and specialized accelerators.

We're building the fastest universal Database Management Software, both open-source and closed-source.

The software has bindings for high-level languages like Python, Java, and GoLang, all tested and packaged separately.

Docker images and binaries must be generated for multiple operating systems, mainly focusing on Linux flavors: Ubuntu, CentOS, and Rocky Linux.

Responsibilities
  • Reorganizing build and CI/CD pipelines for mostly C++ and CUDA projects.
  • Packaging products for a large matrix of Operating Systems and Versions.
  • Managing client data migrations in stateful cloud services.
  • Extending continuous monitoring from internal to external infrastructure.
Requirements
  • Python and Bash scripting skills.
  • Kubernetes and Docker expertise.
  • Experience with GitHub and GitLab pipelines.
  • AWS and GCP deployment knowledge.

The estimated salary for this role is $120,000 - $180,000 per year, depending on location and experience.

To learn more, check out our GitHub repository.



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