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Shakudo

Data stack operating system for AI

Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • 8+ years of experience across software, data, platform, or AI engineering roles
  • 5+ years of strong experience with Kubernetes cluster operation and DevOps, and bare-metal server operations
  • Experience operating production infrastructure at scale, including physical servers, GPU clusters, and CI/CD systems
  • Strong background in security hardening, observability, and reliability engineering
  • Proficiency in Rust is preferred
  • Experience with AI/ML infrastructure, including LLM hosting and inference serving is preferred

Responsibilities

  • Maintain and operate internal services for the rest of the Shakudo employees, including proprietary applications for sales and ETL pipelines
  • Maintain and operate DGX machines that host LLMs for the team's use
  • Maintain and operate Shakudo's product for Shakudo's internal use, and contribute to product hardening, security, and DevOps practices
  • Maintain and operate physical servers for Kubernetes clusters and ensure uptime
  • Create CI/CD pipelines for internal deployments
  • Maintain and operate the AI Gateway product for customers, ensure uptime, and contribute to product roadmap

About the Company

Shakudo

Data stack operating system for AI

Shakudo provides an operating system for data and AI stacks that lets enterprise data science and ML teams build, deploy, and manage AI products. Its platform automates DevOps, unifies data tools (170+), and can be self-hosted in a client’s virtual private cloud to keep data in-house. It differentiates itself through broad compatibility, avoidance of vendor lock-in, and an end-to-end data/AI stack in one platform. The goal is to simplify and accelerate enterprise AI development and deployment with a unified, self-hosted platform.

Company size
11-50
Company stage
Series A
Total funding
$17M
Headquarters
Toronto, Canada
Founded
2021

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